Triple

T15330147
Position Surface form Disambiguated ID Type / Status
Subject Like Father E366510 entity
Predicate starring P1507 FINISHED
Object Jon Foster E854477 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: Jon Foster | Statement: [Like Father, starring, Jon Foster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jon Foster
Context triple: [Like Father, starring, Jon Foster]
  • A. Jon Foster chosen
    Jon Foster is an American actor and musician known for his film and television roles as well as for being part of the electronic-soul duo Kaneholler.
  • B. Jeff Foster
    Jeff Foster is an entrepreneur best known for founding the global athletic footwear and apparel brand Reebok.
  • C. Phil Foster
    Phil Foster was an American actor and comedian best known for playing Laverne’s father, Frank DeFazio, on the sitcom "Laverne & Shirley."
  • D. Phil Foster
    Phil Foster is the hapless yet determined suburban husband and father portrayed by Steve Carell in the comedy film "Date Night."
  • E. John Ferrell
    John Ferrell was a photographer for the U.S. Farm Security Administration, contributing documentary images of American life during the Great Depression and World War II era.
  • 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_69d85a121520819093dcce999fdefe1a completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e0161ac8190aa1d52c063c02ad0 completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69fef8b1b2d08190a158bf65535ad750 completed May 9, 2026, 9:04 a.m.
Created at: April 10, 2026, 3:17 a.m.