Triple

T6358213
Position Surface form Disambiguated ID Type / Status
Subject Jerry Cantrell E143044 entity
Predicate givenName P17 FINISHED
Object Jerry E486416 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 Cantrell, givenName, Jerry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jerry
Context triple: [Jerry Cantrell, givenName, Jerry]
  • A. Jerry
    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. Jerry
    Jerry is the given name of Jerry Lee Lewis, the influential American rock and roll and country music singer and pianist known for hits like "Great Balls of Fire."
  • D. Jerry chosen
    Jerry is a masculine given name commonly used in English-speaking countries, often as a diminutive of names like Gerald, Jerome, or Jeremy.
  • E. Jerry
    Jerry is the troubled, isolated protagonist of Edward Albee’s one-act play "The Zoo Story," whose intense encounter with a stranger on a park bench drives the drama’s exploration of alienation and human connection.
  • 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_69c008d7a9c4819098d647ec47776917 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c067f5bdd481909cf9db595ddb27df completed March 22, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69c64bab02948190bc64bb0b96a55602 completed March 27, 2026, 9:19 a.m.
Created at: March 22, 2026, 4:32 p.m.