Triple

T9523563
Position Surface form Disambiguated ID Type / Status
Subject The Band Wagon E229702 entity
Predicate cinematographyBy P1953 FINISHED
Object Harry Jackson E229702 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: Harry Jackson | Statement: [The Band Wagon, cinematographyBy, Harry Jackson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harry Jackson
Context triple: [The Band Wagon, cinematographyBy, Harry Jackson]
  • A. Harry Jackson chosen
    Harry Jackson was a cinematographer known for his work on classic Hollywood films, including the 1953 musical "The Band Wagon."
  • B. Harry Jackson
    Harry Jackson was an American painter and sculptor known for his Western-themed artworks and contributions to 20th-century realism.
  • C. Tom Jackson
    Tom Jackson is a Canadian actor and singer best known for his roles in film and television as well as his humanitarian work, particularly within Indigenous communities.
  • D. Blake James
    Blake James is an American college athletics administrator best known for serving as the athletic director at major universities, including the University of Miami and later Boston College.
  • E. Harry Bentley
    Harry Bentley is a British flat racing jockey known for his multiple Group race victories and successful stints riding in the UK and internationally, particularly in the Middle East.
  • 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_69ca847870a881909d8d751a7d29da39 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9898e0b48190a3e3f0f1616d5055 completed April 1, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69d13a61fbd08190bb68ffe29da3a34a completed April 4, 2026, 4:20 p.m.
Created at: March 30, 2026, 7:59 p.m.