Triple

T13997751
Position Surface form Disambiguated ID Type / Status
Subject Boston Legal E336744 entity
Predicate mainCharacter P1183 FINISHED
Object Alan Shore E462637 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: Alan Shore | Statement: [Boston Legal, mainCharacter, Alan Shore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alan Shore
Context triple: [Boston Legal, mainCharacter, Alan Shore]
  • A. Alan Shore chosen
    Alan Shore is a brilliant, eccentric, and ethically ambiguous attorney best known as the central character in the TV legal drama "Boston Legal."
  • B. M. T. Scudder
    M. T. Scudder is a person notable enough to be recognized as a significant bearer of the surname Scudder.
  • C. John Beckett
    John Beckett was a British politician who moved from the Labour Party to far-right politics and became a prominent figure in interwar British fascism.
  • D. Dr. Doug Ross
    Dr. Doug Ross is a charismatic and rebellious pediatrician on the television medical drama "ER," known for his deep compassion for children and complex personal life.
  • E. Jack McCoy
    Jack McCoy is a fictional New York City prosecutor known for his aggressive, morally complex approach to trying cases in the long-running television series "Law & Order."
  • 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_69d81c645c5c8190b1fd16a285a1b78a completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2eb68ba88190bfaf10777d607bf3 completed April 14, 2026, 12:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbac9f1f6c8190af7ddac920661bd5 completed May 6, 2026, 9:03 p.m.
Created at: April 9, 2026, 10:19 p.m.