Triple

T11760415
Position Surface form Disambiguated ID Type / Status
Subject Rod Steiger E279640 entity
Predicate name P16 FINISHED
Object Rodney Stephen Steiger E279640 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: Rodney Stephen Steiger | Statement: [Rod Steiger, name, Rodney Stephen Steiger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rodney Stephen Steiger
Context triple: [Rod Steiger, name, Rodney Stephen Steiger]
  • A. Rodney Stephen Steiger chosen
    Rodney Stephen Steiger was an American actor renowned for his intense, emotionally powerful performances in films such as "On the Waterfront" and his Academy Award–winning role in "In the Heat of the Night."
  • B. Harry Levin
    Harry Levin was an influential American literary critic and scholar known for his work on modernist literature and comparative literary studies.
  • C. Stanley Hoffman
    Stanley Hoffman is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Hoffman.
  • D. George Nader
    George Nader was an American film and television actor best known for his roles in 1950s Hollywood productions and later European genre films.
  • E. Norman Lloyd
    Norman Lloyd was an American actor, producer, and director whose career in film, television, and theater spanned more than eight decades.
  • 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_69d6ab01038c819080714901502c84fc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a52386708190b744746a2db37495 completed April 10, 2026, 7:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69f09053a9b08190983e15f2da3d3889 completed April 28, 2026, 10:47 a.m.
Created at: April 8, 2026, 9:41 p.m.