Triple

T1696402
Position Surface form Disambiguated ID Type / Status
Subject George Black (producer) E36666 entity
Predicate hasNameInLanguage P15 FINISHED
Object George Black E36666 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 Black | Statement: [George Black (producer), hasNameInLanguage, George Black]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George Black
Context triple: [George Black (producer), hasNameInLanguage, George Black]
  • A. George Black chosen
    George Black is a relatively common personal name shared by multiple notable individuals across fields such as politics, business, and the arts.
  • B. James Black
    James Black was a Scottish pharmacologist and Nobel laureate renowned for developing the first beta-blocker and the H2 receptor antagonist cimetidine, revolutionizing cardiovascular and ulcer treatment.
  • C. Alan Black
    Alan Black is a Northern Irish man known for being the sole survivor of the 1976 Kingsmill massacre during the Troubles.
  • D. David Farrar
    David Farrar is a Canadian academic and administrator who serves as the president and vice-chancellor of McMaster University.
  • E. Ivor Novello
    Ivor Novello was a Welsh composer, singer, and actor of the early 20th century, renowned for his popular songs and musical theatre works in Britain.
  • 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_69a886163dec8190859c514232a37a05 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa62b645a081909dafdf7a32f2a389 completed March 6, 2026, 5:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69adbf46f51c8190bae3e47c97054188 completed March 8, 2026, 6:26 p.m.
Created at: March 4, 2026, 7:30 p.m.