Triple

T11614455
Position Surface form Disambiguated ID Type / Status
Subject Blues in the Night E275467 entity
Predicate hasNotableRecordingBy P1152 FINISHED
Object Charlie Barnet E825814 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: Charlie Barnet | Statement: [Blues in the Night, hasNotableRecordingBy, Charlie Barnet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charlie Barnet
Context triple: [Blues in the Night, hasNotableRecordingBy, Charlie Barnet]
  • A. Charlie Barnet chosen
    Charlie Barnet was an American jazz saxophonist and bandleader known for his swing-era big band and hits like "Cherokee."
  • B. Howard Duff
    Howard Duff was an American actor known for his work in film, radio, and television, including notable roles in classic noir and mid-20th-century dramas.
  • C. Walter Brewster
    Walter Brewster was a prominent local landowner and early settler after whom the Village of Brewster in New York was named.
  • D. Owen Brewster
    Owen Brewster was a mid-20th-century American Republican politician who served as both governor of Maine and a U.S. senator.
  • E. Charles Halloway
    Charles Halloway is a reflective, middle-aged librarian and the morally conflicted father figure in Ray Bradbury’s dark fantasy novel "Something Wicked This Way Comes."
  • 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_69d6aaf84b548190ac072e4fb89ae18f completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a044a3088190b92f4674c2d0b443 completed April 10, 2026, 7:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69e8a84161d88190a3e810d19d6ea8b8 completed April 22, 2026, 10:51 a.m.
Created at: April 8, 2026, 9:38 p.m.