Triple

T2995270
Position Surface form Disambiguated ID Type / Status
Subject Thief (TV series) E81050 entity
Predicate starring P1507 FINISHED
Object Andre Braugher E145629 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: Andre Braugher | Statement: [Thief (TV series), starring, Andre Braugher]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andre Braugher
Context triple: [Thief (TV series), starring, Andre Braugher]
  • A. Andre Braugher chosen
    Andre Braugher is an American actor acclaimed for his powerful dramatic roles and his Emmy-winning performances in both television and film.
  • B. Thomas Haden Church
    Thomas Haden Church is an American actor known for roles in the TV series "Wings" and films such as "Sideways" and "Spider-Man 3."
  • C. Donald Faison
    Donald Faison is an American actor and comedian best known for his role as Dr. Christopher Turk on the television series "Scrubs."
  • D. Tim Healy
    Tim Healy was an Irish nationalist politician, lawyer, and writer who became the first Governor-General of the Irish Free State.
  • E. John Carroll Lynch
    John Carroll Lynch is an American character actor known for his versatile roles in film and television, including notable performances in works like "Fargo," "Zodiac," and "American Horror Story."
  • 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_69ad8b187fc8819085914d3c9ea3142d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad99f2e5888190b3346012e2578dab completed March 8, 2026, 3:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b12e3bac408190b09bafee840eb0d1 completed March 11, 2026, 8:56 a.m.
Created at: March 8, 2026, 2:59 p.m.