Triple

T21762458
Position Surface form Disambiguated ID Type / Status
Subject Joël Scherk E537195 entity
Predicate workLocation P7 FINISHED
Object Pasadena NE NERFINISHED

How this triple was built (2 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: Pasadena | Statement: [Joël Scherk, workLocation, Pasadena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pasadena
Context triple: [Joël Scherk, workLocation, Pasadena]
  • A. Pasadena chosen
    Pasadena is a city in Los Angeles County, California, known for its scientific and cultural institutions and as the longtime host of the annual Rose Parade and Rose Bowl Game.
  • B. Pasadena
    "Pasadena" is a historical novel by David Ebershoff that explores love, ambition, and social change in early 20th-century Southern California.
  • C. Torrance
    Torrance is a coastal city in southwestern Los Angeles County, California, known for its suburban neighborhoods, automotive and aerospace industries, and one of the region’s largest concentrations of Japanese-American residents.
  • D. Torrance
    Torrance is a small village in East Dunbartonshire, Scotland, known for its rural character and proximity to the outskirts of Glasgow.
  • E. Maywood
    Maywood is a small, densely populated city in southeastern Los Angeles County, California, known for its predominantly Latino community and urban residential character.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c46f5d1c8190bf830409e98464e5 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f01d9369f88190b4be11b82fe75a17 completed April 28, 2026, 2:38 a.m.
Created at: April 16, 2026, 6:51 p.m.