Triple

T3239656
Position Surface form Disambiguated ID Type / Status
Subject Dr. Dolittle (1998 film) E67936 entity
Predicate stars P1956 FINISHED
Object Peter Boyle E162392 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: Peter Boyle | Statement: [Dr. Dolittle (1998 film), stars, Peter Boyle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Boyle
Context triple: [Dr. Dolittle (1998 film), stars, Peter Boyle]
  • A. Peter Boyle chosen
    Peter Boyle was an American character actor best known for his roles in films like "Young Frankenstein" and "Taxi Driver" and the TV series "Everybody Loves Raymond."
  • B. Peter Boyle
    Peter Boyle is a film editor known for his work on acclaimed movies such as "The Hours."
  • C. 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.
  • D. Burgess Meredith
    Burgess Meredith was an American actor and director best known for his versatile character roles in film, television, and theater, including his iconic performance as the Penguin in the 1960s Batman TV series.
  • E. Garth Algar
    Garth Algar is a shy, nerdy, and endearingly awkward best friend and co-host to Wayne Campbell in the comedy franchise "Wayne's World."
  • 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_69ad858d27348190abb61c280b4c86a9 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaef4c0bc819095e4f84296fe7cb6 completed March 8, 2026, 5:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69b31a65d2988190a053eb2f22503f83 completed March 12, 2026, 7:56 p.m.
Created at: March 8, 2026, 3:08 p.m.