Triple

T15261968
Position Surface form Disambiguated ID Type / Status
Subject Todd Field E364798 entity
Predicate collaboratedWith P435 FINISHED
Object Tom Perrotta E852778 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: Tom Perrotta | Statement: [Todd Field, collaboratedWith, Tom Perrotta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tom Perrotta
Context triple: [Todd Field, collaboratedWith, Tom Perrotta]
  • A. Tom Perrotta chosen
    Tom Perrotta is an American novelist and screenwriter known for his darkly comic, character-driven stories that often explore suburban life and moral ambiguity.
  • B. Patrick Gaffigan
    Patrick Gaffigan is one of the children of American actor and comedian Jim Gaffigan and his wife, writer and producer Jeannie Gaffigan (née Noth).
  • C. Sam Lipsyte
    Sam Lipsyte is an American novelist and short story writer known for his darkly comic, satirical fiction exploring contemporary alienation and absurdity.
  • D. David Greenwalt
    David Greenwalt is an American television producer, writer, and director best known for his work on genre series such as Buffy the Vampire Slayer and its spin-off Angel.
  • E. Richard Russo
    Richard Russo is an American novelist and screenwriter best known for his wry, character-driven depictions of small-town life, including the Pulitzer Prize–winning novel "Empire Falls."
  • 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_69d85a0f08408190b3c3259ae35d79d2 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0084e85a08190b8e63598b9f6a535 completed April 15, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69fee5fb8b30819096d31ba5884715c9 completed May 9, 2026, 7:44 a.m.
Created at: April 10, 2026, 3:14 a.m.