Triple

T8155716
Position Surface form Disambiguated ID Type / Status
Subject Nine Months E190444 entity
Predicate stars P1956 FINISHED
Object Tom Arnold E369336 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 Arnold | Statement: [Nine Months, stars, Tom Arnold]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tom Arnold
Context triple: [Nine Months, stars, Tom Arnold]
  • A. Tom Arnold chosen
    Tom Arnold is an American actor and comedian known for his roles in film and television, as well as for his work on the sitcom "Roseanne."
  • B. Jeff Buchanan
    Jeff Buchanan is a professional editor, likely working in publishing or media, known for collaborating on written content such as articles or manuscripts.
  • C. Howard Deutch
    Howard Deutch is an American film and television director best known for helming several iconic 1980s John Hughes films, including "Pretty in Pink" and "Some Kind of Wonderful."
  • D. John Pankow
    John Pankow is an American actor best known for his role as Ira Buchman on the television sitcom "Mad About You" and for numerous supporting roles in film and theater.
  • E. Ted McGinley
    Ted McGinley is an American actor best known for his roles on television series such as "Married... with Children," "Happy Days," and "The Love Boat."
  • 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_69ca82bfeb6481909d07b91b5cf69f59 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb44d725b88190b77dc7537c1fa95d completed March 31, 2026, 3:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbf0f68c88190be9aab03de6bf4a0 completed April 1, 2026, 6:45 a.m.
Created at: March 30, 2026, 5:37 p.m.