Triple

T20396870
Position Surface form Disambiguated ID Type / Status
Subject Murders in the Rue Morgue (1932 film) E500228 entity
Predicate screenwriter P2831 FINISHED
Object Tom Reed NE NERFINISHED

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: [Murders in the Rue Morgue (1932 film), screenwriter, Tom Reed]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tom Reed
Context triple: [Murders in the Rue Morgue (1932 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. Tom Suozzi
    Tom Suozzi is an American Democratic politician and former U.S. Representative from New York known for his centrist views and prior service as Nassau County Executive and mayor of Glen Cove.
  • D. Theodore Gillibrand
    Theodore Gillibrand is the younger son of U.S. Senator Kirsten Gillibrand and her husband Jonathan Gillibrand.
  • E. Sean Moynihan
    Sean Moynihan is a screenwriter best known for his work on the romantic comedy film "Shallow Hal."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4a81bec8190b69adfdc1336a015 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6798b6640819085d5b12dc35633fe completed April 20, 2026, 7:07 p.m.
Created at: April 16, 2026, 11:28 a.m.