Triple

T20147003
Position Surface form Disambiguated ID Type / Status
Subject Our Bright Future E491327 entity
Predicate producer P490 FINISHED
Object Larry Klein NE NERFINISHED

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: Larry Klein | Statement: [Our Bright Future, producer, Larry Klein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Larry Klein
Context triple: [Our Bright Future, producer, Larry Klein]
  • A. Larry Klein chosen
    Larry Klein is an American record producer, songwriter, and bassist best known for his work with artists such as Joni Mitchell, Herbie Hancock, and Tracy Chapman.
  • B. Larry Klein
    Larry Klein is an American local politician who serves as the mayor of Sunnyvale, California, a major city in Silicon Valley.
  • C. Larry Levine
    Larry Levine was an influential American recording engineer best known for his work with producer Phil Spector on landmark 1960s pop recordings.
  • D. Daniel Kramer
    Daniel Kramer is an American photographer best known for his iconic mid-1960s images of Bob Dylan, including the cover photography for Dylan’s album "Bringing It All Back Home."
  • E. Daniel Kramer
    Daniel Kramer is an American theater and opera director known for his bold, visually striking, and often provocative productions in major European and international venues.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da6265f8f0819080b29c752a574088 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e6679f43bc8190a1cd4768b3e87505 completed April 20, 2026, 5:51 p.m.
Created at: April 11, 2026, 11:33 p.m.