Triple

T23170208
Position Surface form Disambiguated ID Type / Status
Subject Some Lessons Learned E578831 entity
Predicate producer P490 FINISHED
Object Nick Paul 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: Nick Paul | Statement: [Some Lessons Learned, producer, Nick Paul]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nick Paul
Context triple: [Some Lessons Learned, producer, Nick Paul]
  • A. Nick Paul chosen
    Nick Paul is a music producer known for his work on projects such as the release "Some Lessons Learned."
  • B. Marcus T. Paulk
    Marcus T. Paulk is an American actor and rapper best known for his role as Myles Mitchell on the television sitcom "Moesha."
  • C. Joe Paulson
    Joe Paulson is a minor character in Stephen King’s science fiction–horror novel "The Tommyknockers," one of the residents of Haven affected by the town’s sinister alien influence.
  • D. Brian Nickels
    Brian Nickels was a British stunt performer and coordinator known for his work on numerous film and television productions.
  • E. C.J. Paul
    C.J. Paul is the younger brother of NBA star Chris Paul and has been involved in managing aspects of Chris Paul's business and professional affairs.
  • 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_69e245fd2a388190b814c0dfa15f7148 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18f2f10208190b3a0f9a4c790cb0a completed April 29, 2026, 4:55 a.m.
Created at: April 17, 2026, 4:03 p.m.