Triple

T11760840
Position Surface form Disambiguated ID Type / Status
Subject Charley Malloy E279650 entity
Predicate siblingOf P363 FINISHED
Object Terry Malloy E336518 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: Terry Malloy | Statement: [Charley Malloy, siblingOf, Terry Malloy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Terry Malloy
Context triple: [Charley Malloy, siblingOf, Terry Malloy]
  • A. Terry Malloy chosen
    Terry Malloy is the conflicted ex-boxer and longshoreman protagonist of the film "On the Waterfront," known for his moral struggle against corruption and his iconic "I coulda been a contender" speech.
  • B. Bill Leavy
    Bill Leavy was an American NFL official best known for serving as the referee in Super Bowl XL and for several controversial calls in that game.
  • C. Artie Burns
    Artie Burns is an American professional football cornerback who has played in the NFL after a standout college career at the University of Miami.
  • D. Virgil Tracy
    Virgil Tracy is a fictional member of the Tracy family and pilot of Thunderbird 2 in the Thunderbirds franchise, known for his calm demeanor and role in International Rescue.
  • E. Patrick J. Don Vito
    Patrick J. Don Vito is a film editor best known for his work on the Academy Award–winning movie "Green Book."
  • 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_69d6ab01038c819080714901502c84fc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a52386708190b744746a2db37495 completed April 10, 2026, 7:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69f01a4be7c481908deab31f2ee20e0c completed April 28, 2026, 2:24 a.m.
Created at: April 8, 2026, 9:41 p.m.