Triple

T13107143
Position Surface form Disambiguated ID Type / Status
Subject Tell Me Something Good E310871 entity
Predicate producer P490 FINISHED
Object Bob Monaco E310871 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: Bob Monaco | Statement: [Tell Me Something Good, producer, Bob Monaco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bob Monaco
Context triple: [Tell Me Something Good, producer, Bob Monaco]
  • A. Bob Monaco chosen
    Bob Monaco is a music producer best known for his work on the hit song "Tell Me Something Good."
  • B. Roger Falcone
    Roger Falcone is an American physicist known for his leadership in the scientific community and his research in ultrafast x-ray and laser science.
  • C. Pierre Falcone
    Pierre Falcone is a French businessman best known for his central role in the Angolagate scandal involving illicit arms sales to Angola in the 1990s.
  • D. Marco Marchetti
    Marco Marchetti is a notable individual who shares the Italian surname Marchetti and is recognized as a distinguished bearer of that name.
  • E. Carlo Montemagno
    Carlo Montemagno was an American engineer and nanotechnology pioneer known for his groundbreaking work at the interface of biology and engineering, including the development of hybrid biological–synthetic systems.
  • 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_69d806a872d08190a329806f8ff30df4 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98154c9f48190aeca779d97151759 completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e27a325c8190a5c0f1a582340078 completed May 3, 2026, 5:51 a.m.
Created at: April 9, 2026, 9:05 p.m.