Triple

T8927749
Position Surface form Disambiguated ID Type / Status
Subject West Seattle E212577 entity
Predicate contains P35 FINISHED
Object Fauntleroy
Fauntleroy is a residential neighborhood in West Seattle known for its ferry terminal, waterfront park, and views across Puget Sound.
 E766116 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: Fauntleroy | Statement: [West Seattle, contains, Fauntleroy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fauntleroy
Context triple: [West Seattle, contains, Fauntleroy]
  • A. Harrie
    Harrie is a given name, typically a variant spelling of Harry, used for both males and females in various countries.
  • B. Maurice
    Maurice is a masculine given name of Latin origin, commonly used in English and French-speaking countries.
  • C. Maurice
    Maurice is a 1987 British romantic drama film, based on E.M. Forster’s novel, that explores same-sex love and class in early 20th-century England.
  • D. Golightly
    Golightly is a surname of English origin, most famously associated with the fictional character Holly Golightly from Truman Capote’s novella "Breakfast at Tiffany’s."
  • E. Harper
    Harper is a small community located in Raleigh County, West Virginia, in the United States.
  • 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: Fauntleroy
Triple: [West Seattle, contains, Fauntleroy]
Generated description
Fauntleroy is a residential neighborhood in West Seattle known for its ferry terminal, waterfront park, and views across Puget Sound.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fauntleroy
Target entity description: Fauntleroy is a residential neighborhood in West Seattle known for its ferry terminal, waterfront park, and views across Puget Sound.
  • A. Harrie
    Harrie is a given name, typically a variant spelling of Harry, used for both males and females in various countries.
  • B. Maurice
    Maurice is a masculine given name of Latin origin, commonly used in English and French-speaking countries.
  • C. Maurice
    Maurice is a 1987 British romantic drama film, based on E.M. Forster’s novel, that explores same-sex love and class in early 20th-century England.
  • D. Golightly
    Golightly is a surname of English origin, most famously associated with the fictional character Holly Golightly from Truman Capote’s novella "Breakfast at Tiffany’s."
  • E. Harper
    Harper is a small community located in Raleigh County, West Virginia, in the United States.
  • 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_69ca8395c438819087d7cb844ab5990c completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6672af10819084a6e50f0302f732 completed April 1, 2026, 12:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfba5e887c8190851f2fb533653c6e completed April 3, 2026, 1:02 p.m.
NEDg Description generation batch_69cfbab0b0048190a0ad002787dddffa completed April 3, 2026, 1:03 p.m.
NED2 Entity disambiguation (via description) batch_69cfbb4f1f6881908ec9e419d175d044 completed April 3, 2026, 1:06 p.m.
Created at: March 30, 2026, 6:57 p.m.