Triple

T8603656
Position Surface form Disambiguated ID Type / Status
Subject Creed III E203741 entity
Predicate musicBy P1952 FINISHED
Object Joseph Shirley E358594 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: Joseph Shirley | Statement: [Creed III, musicBy, Joseph Shirley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joseph Shirley
Context triple: [Creed III, musicBy, Joseph Shirley]
  • A. Joseph Shirley chosen
    Joseph Shirley is a film and television composer known for his work on major projects such as The Book of Boba Fett.
  • B. Robin Ward
    Robin Ward is a Canadian actor and television host best known for his leading role in the 1970s science fiction series "The Starlost."
  • C. Georgia Tennant
    Georgia Tennant is an English actress and producer known for roles in series like "Doctor Who" and "Merlin," as well as for her work behind the camera on various television projects.
  • D. J. Carrol Naish
    J. Carrol Naish was an American character actor known for his prolific film career from the 1930s to the 1960s, often portraying ethnically diverse roles and earning multiple Academy Award nominations.
  • E. Daniel Comstock
    Daniel Comstock was an American scientist and engineer best known as a co-founder of Technicolor, a pioneering company in color motion picture technology.
  • 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_69ca832b56948190ba751cec255308f1 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc46dc23448190a5eb63455578427e completed March 31, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea8f8dfa4819080c8ed475a84be41 completed April 2, 2026, 5:35 p.m.
Created at: March 30, 2026, 6:24 p.m.