Triple

T14898878
Position Surface form Disambiguated ID Type / Status
Subject Penrod and Sam (1937 film) E359948 entity
Predicate screenwriter P2831 FINISHED
Object Tom Reed E887440 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 Reed | Statement: [Penrod and Sam (1937 film), screenwriter, Tom Reed]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tom Reed
Context triple: [Penrod and Sam (1937 film), screenwriter, Tom Reed]
  • A. Tom Reed chosen
    Tom Reed was an American screenwriter active during Hollywood's classic era, known for his work on numerous studio films.
  • B. Tom Malinowski
    Tom Malinowski is an American diplomat and Democratic politician who served in the U.S. House of Representatives representing a New Jersey district in the late 2010s and early 2020s.
  • C. Theodore Gillibrand
    Theodore Gillibrand is the younger son of U.S. Senator Kirsten Gillibrand and her husband Jonathan Gillibrand.
  • D. Sean Moynihan
    Sean Moynihan is a screenwriter best known for his work on the romantic comedy film "Shallow Hal."
  • E. Chris Cuomo
    Chris Cuomo is an American television journalist and former CNN anchor known for hosting the prime-time news program "Cuomo Prime Time."
  • 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_69d827980cbc8190a0c569ae3940a1d9 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69ded6084574819098033a9723f3e1c4 completed April 15, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe72b30c6881908b80ca96fb5b716f completed May 8, 2026, 11:33 p.m.
Created at: April 10, 2026, 2:11 a.m.