Triple

T13997760
Position Surface form Disambiguated ID Type / Status
Subject Boston Legal E336744 entity
Predicate mainCharacter P1183 FINISHED
Object Carl Sack E436821 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: Carl Sack | Statement: [Boston Legal, mainCharacter, Carl Sack]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carl Sack
Context triple: [Boston Legal, mainCharacter, Carl Sack]
  • A. Carl Sack chosen
    Carl Sack is a fictional attorney character portrayed by John Larroquette on the legal dramedy series "Boston Legal."
  • B. William Sachse
    William Sachse was a 19th-century Texas pioneer and landowner after whom the city of Sachse, Texas, is named.
  • C. Karl Sack
    Karl Sack was a German jurist and member of the anti-Nazi resistance who was executed by the regime in 1945 for his involvement in plots against Adolf Hitler.
  • D. Karl Snyders
    Karl Snyders is an individual known primarily as a notable bearer of the surname Snyders, though little widely available public information further distinguishes him.
  • E. Stan Salfas
    Stan Salfas is a film editor known for his work on major feature films, including the science fiction sequel "Dawn of the Planet of the Apes."
  • 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_69fcb652305c81908ea097d4f36a05c0 completed May 7, 2026, 3:57 p.m.
Created at: April 9, 2026, 10:19 p.m.