Triple

T16518331
Position Surface form Disambiguated ID Type / Status
Subject Andrew Panay E401243 entity
Predicate notableWork P4 FINISHED
Object Hit and Run E1146703 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: Hit and Run | Statement: [Andrew Panay, notableWork, Hit and Run]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hit and Run
Context triple: [Andrew Panay, notableWork, Hit and Run]
  • A. Hit and Run
    Hit and Run is a segment of the film "Mistaken Identity," likely centered on a crime or accident involving a driver who flees the scene.
  • B. Hit and Run
    "Hit and Run" is a 1957 British crime drama film in which Diane Cilento plays a key role in a dark tale of murder and betrayal.
  • C. Hit an’ Run
    "Hit an’ Run" is a song featured on the rock album "Come an’ Get It" by the British band Whitesnake.
  • D. Hit It Run
    "Hit It Run" is a track by pioneering hip hop group Run-D.M.C., featured on their influential 1986 album "Raising Hell."
  • E. Hit and Run (2012 film) chosen
    Hit and Run (2012 film) is an action-comedy road movie about a former getaway driver whose attempt to help his girlfriend leads to a chaotic chase involving the witness protection program and his criminal past.
  • 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_69d883838abc8190bc79cb2d41733ce2 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e7da2248190a540a5ef8686963d completed April 18, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a006086c0a881908976103f8a144f69 completed May 10, 2026, 10:40 a.m.
Created at: April 10, 2026, 5:14 a.m.