Triple

T1355799

Position	Surface form	Disambiguated ID	Type / Status
Subject	Elsa Lanchester	`E28984`	entity
Predicate	placeOfDeath	`P21`	FINISHED
Object	Woodland Hills, Los Angeles, California, United States Woodland Hills is an affluent residential neighborhood in the southwestern San Fernando Valley region of Los Angeles, California, known for its suburban character, proximity to the Santa Monica Mountains, and warm climate.	`E156683`	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: Woodland Hills, Los Angeles, California, United States | Statement: [Elsa Lanchester, placeOfDeath, Woodland Hills, Los Angeles, California, United States]

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

Target entity: Woodland Hills, Los Angeles, California, United States
Context triple: [Elsa Lanchester, placeOfDeath, Woodland Hills, Los Angeles, California, United States]

A. Woodland, California, United States
Woodland, California, United States, is a small city in Yolo County near Sacramento known for its rich agricultural surroundings and historic downtown.
B. Encino, Los Angeles, California, United States
Encino is an affluent neighborhood in the San Fernando Valley region of Los Angeles, California, known for its suburban residential character and proximity to major studios and entertainment industry figures.
C. San Dimas, California, United States
San Dimas is a suburban city in Los Angeles County, California, known for its residential character and as the hometown of U.S. soccer star Alex Morgan.
D. Lynwood, California, United States
Lynwood is a small, predominantly working-class city in southeastern Los Angeles County, California, known for its diverse population and proximity to central Los Angeles.
E. Yorba Linda, California, United States
Yorba Linda is a suburban city in Orange County, California, best known as the birthplace of U.S. President Richard Nixon and home to his presidential library and museum.
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: Woodland Hills, Los Angeles, California, United States
Triple: [Elsa Lanchester, placeOfDeath, Woodland Hills, Los Angeles, California, United States]

Generated description

Woodland Hills is an affluent residential neighborhood in the southwestern San Fernando Valley region of Los Angeles, California, known for its suburban character, proximity to the Santa Monica Mountains, and warm climate.

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

Target entity: Woodland Hills, Los Angeles, California, United States
Target entity description: Woodland Hills is an affluent residential neighborhood in the southwestern San Fernando Valley region of Los Angeles, California, known for its suburban character, proximity to the Santa Monica Mountains, and warm climate.

A. Woodland, California, United States
Woodland, California, United States, is a small city in Yolo County near Sacramento known for its rich agricultural surroundings and historic downtown.
B. Encino, Los Angeles, California, United States
Encino is an affluent neighborhood in the San Fernando Valley region of Los Angeles, California, known for its suburban residential character and proximity to major studios and entertainment industry figures.
C. San Dimas, California, United States
San Dimas is a suburban city in Los Angeles County, California, known for its residential character and as the hometown of U.S. soccer star Alex Morgan.
D. Lynwood, California, United States
Lynwood is a small, predominantly working-class city in southeastern Los Angeles County, California, known for its diverse population and proximity to central Los Angeles.
E. Yorba Linda, California, United States
Yorba Linda is a suburban city in Orange County, California, best known as the birthplace of U.S. President Richard Nixon and home to his presidential library and museum.
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_69a498571d248190a0ac9eb02d97097f`	completed	March 1, 2026, 7:49 p.m.
NER	Named-entity recognition	`batch_69a4c28c8dd0819082f94c9e7c837c5f`	completed	March 1, 2026, 10:49 p.m.
NED1	Entity disambiguation (via context triple)	`batch_69acce6e264481909f7cb907486d3e08`	completed	March 8, 2026, 1:18 a.m.
NEDg	Description generation	`batch_69accf141c3481909ae5ea849aee7604`	completed	March 8, 2026, 1:21 a.m.
NED2	Entity disambiguation (via description)	`batch_69accfb8acfc8190bba379d8bb114c29`	completed	March 8, 2026, 1:24 a.m.

Created at: March 1, 2026, 7:56 p.m.