Triple

T12180250
Position Surface form Disambiguated ID Type / Status
Subject The Contender E290197 entity
Predicate starring P1507 FINISHED
Object Robin Thomas E529993 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: Robin Thomas | Statement: [The Contender, starring, Robin Thomas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robin Thomas
Context triple: [The Contender, starring, Robin Thomas]
  • A. Robin Thomas chosen
    Robin Thomas is an American actor best known for his roles in film and television, including a prominent part in the Disney Channel movie "Halloweentown."
  • B. Tim Thomerson
    Tim Thomerson is an American actor and comedian best known for his roles in cult science fiction and action films such as the "Trancers" series.
  • C. Greer Childs
    Greer Childs is a suave, image-obsessed male model and one of Nola Darling’s three lovers in Spike Lee’s film "She’s Gotta Have It."
  • D. Greg De Belles
    Greg De Belles is a composer best known for creating the musical score for the landmark 1989 film about the early years of the AIDS crisis, "Longtime Companion."
  • E. Robin Driscoll
    Robin Driscoll is a British comedy writer and actor best known for co-writing and shaping the character and television series of Mr. Bean.
  • 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_69d6ab64de5881908d56eb7a75c6cc69 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d915fc451c819086a2a97967b82908 completed April 10, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f6ab19288190a882c842d74a2e30 completed May 2, 2026, 1:05 p.m.
Created at: April 8, 2026, 9:50 p.m.