Triple

T11021155
Position Surface form Disambiguated ID Type / Status
Subject Art Blakey E260490 entity
Predicate associatedAct P37 FINISHED
Object Lee Morgan E528838 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: Lee Morgan | Statement: [Art Blakey, associatedAct, Lee Morgan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lee Morgan
Context triple: [Art Blakey, associatedAct, Lee Morgan]
  • A. Lee Morgan chosen
    Lee Morgan was an influential American jazz trumpeter and hard bop bandleader known for his fiery playing and classic albums like "The Sidewinder."
  • B. Dennis Washington
    Dennis Washington is an American industrialist and billionaire known for founding the Washington Companies conglomerate and for his extensive philanthropy, particularly in Montana.
  • C. Cliff Hayes
    Cliff Hayes is a film editor best known for his work on the influential Australian action film "Mad Max."
  • D. Strother Martin
    Strother Martin was an American character actor best known for his memorable supporting roles in classic films of the 1960s and 1970s, often portraying quirky or villainous authority figures.
  • E. Harold McLernon
    Harold McLernon was a film editor known for his work on early sound-era movies, including the 1928 musical drama "The Singing Fool."
  • 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_69d6aa9687448190b28d353b1b6a610e completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d797bb6eec81909d8004af31f307f7 completed April 9, 2026, 12:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69e374f64b3c8190b0b55193f81d3bc5 completed April 18, 2026, 12:11 p.m.
Created at: April 8, 2026, 9:25 p.m.