Triple

T13600281
Position Surface form Disambiguated ID Type / Status
Subject Anaconda E324923 entity
Predicate writer P1360 FINISHED
Object Anthony Ray E289876 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: Anthony Ray | Statement: [Anaconda, writer, Anthony Ray]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anthony Ray
Context triple: [Anaconda, writer, Anthony Ray]
  • A. Anthony Ray chosen
    Anthony Ray was an American film and television producer and assistant director, known for his work on projects like "An Unmarried Woman" and for his controversial relationship with actress Gloria Grahame.
  • B. Raymond Jones
    Raymond Jones is a film producer known for his work on the movie "All for Love."
  • C. Anthony Bonner
    Anthony Bonner is a translator best known for his English translations of literary works, including those of Jorge Luis Borges.
  • D. Anthony Hancock
    Anthony Hancock is a bumbling, downtrodden everyman character portrayed by British comedian Tony Hancock, known for his pessimistic wit and social awkwardness.
  • E. George Gaynes
    George Gaynes was a Finnish-American actor best known for his comedic role as Commandant Eric Lassard in the "Police Academy" film series and as the adoptive father in the movie and TV series "Punky Brewster."
  • 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb07ad3f48190a2173e42c5cfedb1 completed April 12, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77f92224c8190b66adef1291cd47f completed May 3, 2026, 5:02 p.m.
Created at: April 9, 2026, 9:49 p.m.