Triple

T7767158
Position Surface form Disambiguated ID Type / Status
Subject Gene Raymond E178978 entity
Predicate name P16 FINISHED
Object Gene Raymond E178978 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: Gene Raymond | Statement: [Gene Raymond, name, Gene Raymond]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gene Raymond
Context triple: [Gene Raymond, name, Gene Raymond]
  • A. Gene Raymond chosen
    Gene Raymond was an American film and television actor, director, and composer active from the 1930s through the 1950s, known for his leading-man roles in Hollywood dramas and musicals.
  • B. Vic Morrow
    Vic Morrow was an American actor best known for his role in the television series "Combat!" and for his tragic death in a helicopter accident during the filming of "Twilight Zone: The Movie."
  • C. Michael Jace
    Michael Jace is an American actor best known for his role as LAPD Officer Julien Lowe on the television series "The Shield."
  • D. Robert Parrish
    Robert Parrish was an American film editor and director, as well as a former child actor, known for his work on several classic Hollywood films.
  • E. Alan Baxter
    Alan Baxter was an American character actor known for his roles in mid-20th-century film and television, often portraying tough or villainous figures.
  • 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_69c69f30602c819082ab52cd4af5c592 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c7043451bc8190a76ee066b779b7d7 completed March 27, 2026, 10:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8d6d0f1988190b4df650bebb61fd3 completed March 29, 2026, 7:37 a.m.
Created at: March 27, 2026, 4:11 p.m.