Triple

T8546345
Position Surface form Disambiguated ID Type / Status
Subject Phil Green E202333 entity
Predicate knownAs P39 FINISHED
Object Phil Green E202333 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: Phil Green | Statement: [Phil Green, knownAs, Phil Green]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Phil Green
Context triple: [Phil Green, knownAs, Phil Green]
  • A. Phil Green chosen
    Phil Green was a British composer and bandleader known for his prolific work in film and library music during the mid-20th century.
  • B. Michael Chapman
    Michael Chapman was an acclaimed American cinematographer best known for his influential work on landmark films of the 1970s and 1980s, particularly in collaboration with director Martin Scorsese.
  • C. Johnny Brett
    Johnny Brett is a talented but underappreciated tap dancer and one of the central protagonists in the classic musical film "Broadway Melody of 1940."
  • D. Phil Anderson
    Phil Anderson is an Australian former professional road cyclist renowned as one of the leading stage racers of the 1980s and the first non-European to wear the Tour de France yellow jersey.
  • E. Andrew McAlpine
    Andrew McAlpine is a British production designer and art director known for his distinctive visual work on films such as "Sid and Nancy."
  • 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_69ca832461e88190a654c5e44e233aa8 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe74f62148190bfd6cacf5d4f74b6 completed March 31, 2026, 3:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce6dbbb12c819085d1abe289fd1f22 completed April 2, 2026, 1:23 p.m.
Created at: March 30, 2026, 6:19 p.m.