Triple

T8084602
Position Surface form Disambiguated ID Type / Status
Subject Maverick (1957 TV series) E188698 entity
Predicate starred P5563 FINISHED
Object Robert Colbert E607615 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: Robert Colbert | Statement: [Maverick (1957 TV series), starred, Robert Colbert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robert Colbert
Context triple: [Maverick (1957 TV series), starred, Robert Colbert]
  • A. Robert Colbert chosen
    Robert Colbert is an American actor best known for his role as Dr. Doug Phillips on the 1960s science fiction television series "The Time Tunnel."
  • B. Sean Hannity
    Sean Hannity is a conservative American television and radio host best known for his long-running prime-time show on Fox News.
  • C. Stephen Colbert
    Stephen Colbert is an American comedian, writer, producer, political satirist, and television host best known for his work on "The Colbert Report" and "The Late Show with Stephen Colbert."
  • D. Pete Nance
    Pete Nance is an American professional basketball player known for his collegiate career at Northwestern and North Carolina and as the son of former NBA All-Star Larry Nance.
  • E. John Batchelor
    John Batchelor is an Australian actor known for his work in film, television, and theatre.
  • 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_69ca82b662e88190b9323daab8c28a21 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb415f73808190b69db386b447062e completed March 31, 2026, 3:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbe81763881909e2e67bb56f2aa83 completed April 1, 2026, 6:43 a.m.
Created at: March 30, 2026, 5:29 p.m.