Triple

T15008563
Position Surface form Disambiguated ID Type / Status
Subject Leo D’Amato E377773 entity
Predicate hasColleague P398 FINISHED
Object Sheriff Don Lamb E1031687 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: Sheriff Don Lamb | Statement: [Leo D’Amato, hasColleague, Sheriff Don Lamb]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sheriff Don Lamb
Context triple: [Leo D’Amato, hasColleague, Sheriff Don Lamb]
  • A. Sheriff Don Lamb chosen
    Sheriff Don Lamb is a fictional, often antagonistic law enforcement officer from the television series "Veronica Mars," serving as the sheriff of the town of Neptune, California.
  • B. Sheriff J.W. Pepper
    Sheriff J.W. Pepper is a comically blustering Louisiana lawman best known as a recurring character in the James Bond films "Live and Let Die" and "The Man with the Golden Gun."
  • C. Sheriff Sam Galt
    Sheriff Sam Galt is the principled frontier lawman protagonist of the Western film "The Iron Sheriff."
  • D. Sheriff Gil Corrigan
    Sheriff Gil Corrigan is a fictional lawman who appears as a key character in the Western film "A Man Alone."
  • E. Sheriff Hartman
    Sheriff Hartman is a supporting law-enforcement character in the 2016 Broadway revival of the classic newsroom comedy "The Front Page."
  • 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_69d85cd3a3c881908c71fc424d459c17 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded73348d4819091d9e7f1b0fed822 completed April 15, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe96a52bb08190961e3f18d751fe2a completed May 9, 2026, 2:06 a.m.
Created at: April 10, 2026, 2:55 a.m.