Triple

T3551100
Position Surface form Disambiguated ID Type / Status
Subject Gary Sinise E75112 entity
Predicate name P16 FINISHED
Object Gary Sinise E75112 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: Gary Sinise | Statement: [Gary Sinise, name, Gary Sinise]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gary Sinise
Context triple: [Gary Sinise, name, Gary Sinise]
  • A. Gary Sinise chosen
    Gary Sinise is an American actor and director best known for his acclaimed roles in films like "Forrest Gump" and "Apollo 13," as well as for his extensive philanthropic work supporting military veterans.
  • B. Sean Penn
    Sean Penn is an acclaimed American actor and filmmaker known for his intense, character-driven performances and multiple major awards, including two Academy Awards for Best Actor.
  • C. Tommy Lee Jones
    Tommy Lee Jones is an American actor and filmmaker known for his tough, stoic characters in films such as "The Fugitive," "No Country for Old Men," and "Men in Black."
  • D. Gil Bellows
    Gil Bellows is a Canadian actor best known for his roles in films like The Shawshank Redemption and the television series Ally McBeal.
  • E. Eric Dane
    Eric Dane is an American actor best known for his role as Dr. Mark Sloan on the television series "Grey's Anatomy."
  • 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_69ad85d33c6c819081d5ac1df13b5680 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbfd52f44819088e07139fe987e2a completed March 8, 2026, 6:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69b38bec437c8190b35ca77dc19d441d completed March 13, 2026, 4 a.m.
Created at: March 8, 2026, 3:20 p.m.