Triple

T11125244
Position Surface form Disambiguated ID Type / Status
Subject Trio E263117 entity
Predicate producer P490 FINISHED
Object George Massenburg E795446 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: George Massenburg | Statement: [Trio, producer, George Massenburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George Massenburg
Context triple: [Trio, producer, George Massenburg]
  • A. George Massenburg chosen
    George Massenburg is an acclaimed American recording engineer, producer, and inventor renowned for his pioneering work in audio technology and studio production.
  • B. Charles Guggenheim
    Charles Guggenheim was an American documentary filmmaker renowned for his politically engaged and historically focused films, earning multiple Academy Awards over his career.
  • C. John Masius
    John Masius is an American television writer and producer best known for creating and writing several popular drama series, including the spiritual drama "Touched by an Angel."
  • D. George Ratterman
    George Ratterman was an American professional football quarterback who later became a prominent sports broadcaster and attorney.
  • E. Fred Hechinger
    Fred Hechinger is an American actor known for his roles in films and television series such as "The White Lotus," "Eighth Grade," and "The Woman in the Window."
  • 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_69d6aa9b46cc8190b19f9f0cc45bf322 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7e82fc5f88190b34c55de3d50f6a7 completed April 9, 2026, 5:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69f71f03e00c819091ae5273aa10fe4b completed May 3, 2026, 10:10 a.m.
Created at: April 8, 2026, 9:28 p.m.