Triple

T11050199
Position Surface form Disambiguated ID Type / Status
Subject Toy Soldiers E261224 entity
Predicate screenwriter P2831 FINISHED
Object Daniel Petrie Jr. E341015 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: Daniel Petrie Jr. | Statement: [Toy Soldiers, screenwriter, Daniel Petrie Jr.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daniel Petrie Jr.
Context triple: [Toy Soldiers, screenwriter, Daniel Petrie Jr.]
  • A. Daniel Petrie Jr. chosen
    Daniel Petrie Jr. is an American screenwriter best known for his work on the hit action-comedy film "Beverly Hills Cop."
  • B. Daniel Petrie
    Daniel Petrie was a Canadian film and television director known for works such as "A Raisin in the Sun" and numerous acclaimed TV movies and miniseries.
  • C. Stephen Peters
    Stephen Peters is an American screenwriter best known for writing the neo-noir thriller film "Wild Things."
  • D. Patrick Danville
    Patrick Danville is a pivotal child character in Stephen King’s interconnected Dark Tower universe, notable for his prophetic drawings and reality-altering abilities.
  • E. Pete Brockman
    Pete Brockman is a fictional British father and central character in the BBC sitcom "Outnumbered," known for his dry wit and exasperated parenting style.
  • 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_69d6aa98650481908609c7c56bfa7902 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79868c78881908c8e3672c05ae7ec completed April 9, 2026, 12:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3c851d5408190b12250a2a1322874 completed April 18, 2026, 6:07 p.m.
Created at: April 8, 2026, 9:26 p.m.