Triple

T13758082
Position Surface form Disambiguated ID Type / Status
Subject Hank Aaron E330526 entity
Predicate nickname P55 FINISHED
Object The Hammer E330526 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: The Hammer | Statement: [Hank Aaron, nickname, The Hammer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Hammer
Context triple: [Hank Aaron, nickname, The Hammer]
  • A. The Hammer
    The Hammer is a popular nickname for the Canadian city of Hamilton, Ontario, reflecting its gritty, industrial character and strong working-class identity.
  • B. The Hammer chosen
    The Hammer is the nickname of Hank Aaron, the legendary Major League Baseball slugger who broke Babe Ruth’s career home run record.
  • C. The Hammer
    The Hammer is the nickname of American curler Matt Hamilton, known for his powerful shots and distinctive personality on the ice.
  • D. The Hammer
    The Hammer is the nickname of Fred Williamson, a former American football defensive back who became a prominent actor and director, especially known for his roles in 1970s blaxploitation films.
  • E. The Hammer
    The Hammer is the nickname of Dave Schultz, a hard-hitting former NHL enforcer best known for his physical play with the Philadelphia Flyers in the 1970s.
  • 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_69d81c573f288190aa2403d484fa3d49 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de022286b481908f8a801042743512 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7a85dfa6881908da90886db4aa1bb completed May 3, 2026, 7:56 p.m.
Created at: April 9, 2026, 10:09 p.m.