Triple

T5925729
Position Surface form Disambiguated ID Type / Status
Subject Jennifer Todd E131805 entity
Predicate employer P7 FINISHED
Object Pearl Street Films E71386 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: Pearl Street Films | Statement: [Jennifer Todd, employer, Pearl Street Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pearl Street Films
Context triple: [Jennifer Todd, employer, Pearl Street Films]
  • A. Pearl Street Films chosen
    Pearl Street Films is a film and television production company co-founded by actors Ben Affleck and Matt Damon, known for producing a range of high-profile projects.
  • B. Main Street Films
    Main Street Films is an independent film production company known for backing feature films such as the action-comedy "Barely Lethal."
  • C. Greenpoint Films
    Greenpoint Films is a film production company best known for producing the acclaimed period drama "Enchanted April."
  • D. Ferndale Films
    Ferndale Films is an Irish film production company best known for producing acclaimed dramas such as the Oscar-winning "My Left Foot."
  • E. Washington Square Films
    Washington Square Films is an American independent film production company known for backing critically acclaimed, character-driven movies.
  • 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_69c0085b75e88190a632f9691f9da48b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c038542e548190b335df9a948c8490 completed March 22, 2026, 6:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0c04e5af8819095f15cfbc1f13c46 completed March 23, 2026, 4:23 a.m.
Created at: March 22, 2026, 4 p.m.