Triple

T13594773

Position	Surface form	Disambiguated ID	Type / Status
Subject	Inspector Steve Keller	`E324787`	entity
Predicate	basedOn	`P98`	FINISHED
Object	The Streets of San Francisco (novel by Carolyn Weston) "The Streets of San Francisco" is a crime novel by Carolyn Weston that introduced the characters and gritty urban atmosphere later adapted into the 1970s television police drama set in San Francisco.	`E1048752`	NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini

Instruction

Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).

Input

Phrase: The Streets of San Francisco (novel by Carolyn Weston) | Statement: [Inspector Steve Keller, basedOn, The Streets of San Francisco (novel by Carolyn Weston)]

NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07

Target entity: The Streets of San Francisco (novel by Carolyn Weston)
Context triple: [Inspector Steve Keller, basedOn, The Streets of San Francisco (novel by Carolyn Weston)]

A. Tales of the City
Tales of the City is a popular series of novels by Armistead Maupin, later adapted into television miniseries, that chronicles the intertwined lives of residents in 1970s San Francisco.
B. More Tales of the City
More Tales of the City is a television miniseries adaptation of Armistead Maupin’s novel, continuing the stories of the eccentric residents of 28 Barbary Lane in San Francisco.
C. The Streets of San Francisco
The Streets of San Francisco is a 1970s American police procedural television series set in San Francisco, best known for starring Karl Malden and launching Michael Douglas to fame.
D. Private: The San Francisco Story
Private: The San Francisco Story is an adult film production set in San Francisco, released by the European adult entertainment studio Private as part of its spin-off series.
E. East Side of San Francisco
The East Side of San Francisco is a broadly urban, historically working- and middle-class area that includes neighborhoods like the Mission District, known for its dense housing, cultural diversity, and vibrant commercial corridors.
F. None of above. chosen
G. Unsure - the case is ambiguous/there is not enough information to decide.

NEDg Description generation gpt-5.1

Instruction

Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"

Input

Entity: The Streets of San Francisco (novel by Carolyn Weston)
Triple: [Inspector Steve Keller, basedOn, The Streets of San Francisco (novel by Carolyn Weston)]

Generated description

"The Streets of San Francisco" is a crime novel by Carolyn Weston that introduced the characters and gritty urban atmosphere later adapted into the 1970s television police drama set in San Francisco.

NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07

Target entity: The Streets of San Francisco (novel by Carolyn Weston)
Target entity description: "The Streets of San Francisco" is a crime novel by Carolyn Weston that introduced the characters and gritty urban atmosphere later adapted into the 1970s television police drama set in San Francisco.

A. Tales of the City
Tales of the City is a popular series of novels by Armistead Maupin, later adapted into television miniseries, that chronicles the intertwined lives of residents in 1970s San Francisco.
B. More Tales of the City
More Tales of the City is a television miniseries adaptation of Armistead Maupin’s novel, continuing the stories of the eccentric residents of 28 Barbary Lane in San Francisco.
C. The Streets of San Francisco
The Streets of San Francisco is a 1970s American police procedural television series set in San Francisco, best known for starring Karl Malden and launching Michael Douglas to fame.
D. Private: The San Francisco Story
Private: The San Francisco Story is an adult film production set in San Francisco, released by the European adult entertainment studio Private as part of its spin-off series.
E. East Side of San Francisco
The East Side of San Francisco is a broadly urban, historically working- and middle-class area that includes neighborhoods like the Mission District, known for its dense housing, cultural diversity, and vibrant commercial corridors.
F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step	Stage	Batch ID	Status	When
creating	Elicitation	`batch_69d80769eaf081909d82f44e484d6113`	completed	April 9, 2026, 8:09 p.m.
NER	Named-entity recognition	`batch_69dbb057f1c881909a3bb77c659a724a`	completed	April 12, 2026, 2:46 p.m.
NED1	Entity disambiguation (via context triple)	`batch_69f76bc762a08190b5d29cef9923da84`	completed	May 3, 2026, 3:37 p.m.
NEDg	Description generation	`batch_69f77643b0348190962bf23a9857edbe`	completed	May 3, 2026, 4:22 p.m.
NED2	Entity disambiguation (via description)	`batch_69f778f01700819099c3e9cbc84f29e4`	completed	May 3, 2026, 4:33 p.m.

Created at: April 9, 2026, 9:49 p.m.