Triple

T13581399
Position Surface form Disambiguated ID Type / Status
Subject Nina Jacobson E324425 entity
Predicate notableWork P4 FINISHED
Object People Like Us (film) E506673 NE FINISHED

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: People Like Us (film) | Statement: [Nina Jacobson, notableWork, People Like Us (film)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: People Like Us (film)
Context triple: [Nina Jacobson, notableWork, People Like Us (film)]
  • A. People Like Us chosen
    People Like Us is a 2012 American drama film about a man who discovers he has a previously unknown half-sister after his father's death.
  • B. People Like Us
    People Like Us is a stage play written by British actor and playwright Frank Vosper.
  • C. People Like Us
    People Like Us is a musical act connected to the British rock band Supertramp, likely involving collaborations or shared members.
  • D. Our Kind of People
    Our Kind of People is an American drama television series that explores race, class, and Black elite society, in which Morris Chestnut plays a prominent role.
  • E. Our Kind of People
    Our Kind of People is a non-fiction book by Uzodinma Iweala that examines the social, cultural, and personal impact of the HIV/AIDS epidemic in Nigeria.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d80769100c819099111274614f5ed2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb031e8048190a5f2ea934308036c completed April 12, 2026, 2:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76bbf946c8190ba3d2b87cb11dc9d completed May 3, 2026, 3:37 p.m.
Created at: April 9, 2026, 9:48 p.m.