Triple

T15479839
Position Surface form Disambiguated ID Type / Status
Subject Andrew Laeddis E376886 entity
Predicate alsoKnownAs P39 FINISHED
Object Teddy Daniels E54684 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: Teddy Daniels | Statement: [Andrew Laeddis, alsoKnownAs, Teddy Daniels]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Teddy Daniels
Context triple: [Andrew Laeddis, alsoKnownAs, Teddy Daniels]
  • A. Teddy Daniels chosen
    Teddy Daniels is the troubled U.S. Marshal protagonist of the psychological thriller film "Shutter Island," known for his investigation of a mysterious disappearance at a remote mental institution.
  • B. Joe Benton
    Joe Benton is a British Labour Party politician who served as the Member of Parliament for the Bootle constituency.
  • C. Tinoc Kallahan
    Tinoc Kallahan is an alternative name for the Kalanguya language, an Austronesian language spoken by the Kalanguya people in the northern Philippines.
  • D. Merle Dixon
    Merle Dixon is a volatile, tough-talking survivor and the older brother of Daryl Dixon in the television series "The Walking Dead."
  • E. Jack Gladney
    Jack Gladney is the middle-aged, anxiety-ridden professor who founded the academic field of Hitler studies and narrates Don DeLillo’s novel "White Noise."
  • 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_69d85cd21dcc81908646251b1c26ea00 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f8a77a081909f12f13660452f4a completed April 16, 2026, 1:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff36595bfc8190a0d60b3cb875ccc5 completed May 9, 2026, 1:27 p.m.
Created at: April 10, 2026, 3:34 a.m.