Triple

T5787252
Position Surface form Disambiguated ID Type / Status
Subject George Miller E128297 entity
Predicate notableWork P4 FINISHED
Object Babe E448480 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: Babe | Statement: [George Miller, notableWork, Babe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Babe
Context triple: [George Miller, notableWork, Babe]
  • A. Babe
    Babe is the famous nickname of George Herman "Babe" Ruth, the legendary American baseball player widely regarded as one of the greatest hitters in the sport's history.
  • B. Babe chosen
    Babe is a critically acclaimed 1995 family film that blends live-action and animatronics to tell the story of a pig who aspires to be a sheepdog.
  • C. Benny and Babe
    Benny and Babe is a young adult novel by Irish author Eoin Colfer that follows a teenage boy’s summer adventures and unlikely partnership with a tough local girl in rural Ireland.
  • D. The Kid
    The Kid was the famous nickname of Ted Williams, the legendary Boston Red Sox slugger widely regarded as one of the greatest hitters in baseball history.
  • E. The Kid
    "The Kid" is the early-career nickname of NBA Hall of Famer Kevin Garnett, reflecting his youthful energy and precocious talent when he entered the league straight out of high school.
  • 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_69c0084450048190bc647b649a05136b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02a5297c88190bd28adb2552a26f4 completed March 22, 2026, 5:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0981a002c8190ac8ed7407a80919c completed March 23, 2026, 1:32 a.m.
Created at: March 22, 2026, 3:51 p.m.