Triple

T11995740
Position Surface form Disambiguated ID Type / Status
Subject Annie E285524 entity
Predicate hasRelative P367 FINISHED
Object Johnny E182306 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: Johnny | Statement: [Annie, hasRelative, Johnny]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Johnny
Context triple: [Annie, hasRelative, Johnny]
  • A. Johnny chosen
    Johnny is a common English masculine given name, often used as a familiar or diminutive form of John.
  • 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
    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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903b211688190bfe6dd15c3f96d2f completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a5ccac481908c61fc1109cc6ef6 completed May 2, 2026, 2:29 p.m.
Created at: April 8, 2026, 9:46 p.m.