Triple

T16269652
Position Surface form Disambiguated ID Type / Status
Subject Bob Dalton E394964 entity
Predicate notableRelative P367 FINISHED
Object Bill Dalton E1205634 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: Bill Dalton | Statement: [Bob Dalton, notableRelative, Bill Dalton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bill Dalton
Context triple: [Bob Dalton, notableRelative, Bill Dalton]
  • A. Bill Dalton chosen
    Bill Dalton was an American outlaw associated with the Dalton Gang and later the Doolin-Dalton Gang during the late 19th-century Old West.
  • B. Bob Dalton
    Bob Dalton was an American outlaw best known as the leader of the Dalton Gang, which robbed banks and trains in the late 19th-century Old West.
  • C. Wally Dalton
    Wally Dalton is an actor known for his role in the independent drama film "Wendy and Lucy."
  • D. Michael Dalton
    Michael Dalton is a relatively common personal name shared by multiple individuals across various professions, including sports, music, and academia.
  • E. Grat Dalton
    Grat Dalton was an American outlaw and member of the infamous Dalton Gang, known for bank and train robberies in the late 19th-century Old West.
  • 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_69d87f221d8081909b0b2063e7528ba2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e24608dd20819082f46a64af233038 completed April 17, 2026, 2:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00606d1b00819082f1a6084875d9de completed May 10, 2026, 10:39 a.m.
Created at: April 10, 2026, 5:05 a.m.