Triple

T3149571
Position Surface form Disambiguated ID Type / Status
Subject Jerry Hall E65843 entity
Predicate givenName P17 FINISHED
Object Jerry E147550 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: Jerry | Statement: [Jerry Hall, givenName, Jerry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jerry
Context triple: [Jerry Hall, givenName, Jerry]
  • A. Jerry chosen
    Jerry is the given name of Jerry Reinsdorf, the American businessman best known as the longtime owner of the Chicago Bulls and Chicago White Sox.
  • B. Jerry
    Jerry is one of the two cross-dressing musician protagonists in the classic 1959 comedy film "Some Like It Hot," famously portrayed by Jack Lemmon.
  • C. Johnny
    Johnny is a common English masculine given name, often used as a familiar or diminutive form of John.
  • D. Joe
    Joe is a common masculine given name, often a short form of Joseph, used widely in English-speaking countries.
  • E. Joe
    Joe is the given name of Joe Rosenthal, the American photographer famous for his iconic World War II image of the flag raising on Iwo Jima.
  • 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_69ad8584485081909ed529e890cadc4a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada5bf902c8190a490fa55e2dcecc0 completed March 8, 2026, 4:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69b261f805b0819089bf8a94c331faf1 completed March 12, 2026, 6:49 a.m.
Created at: March 8, 2026, 3:05 p.m.