Triple

T9154564
Position Surface form Disambiguated ID Type / Status
Subject The Good Fight E219675 entity
Predicate starring P1507 FINISHED
Object Michael Boatman E699909 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: Michael Boatman | Statement: [The Good Fight, starring, Michael Boatman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Boatman
Context triple: [The Good Fight, starring, Michael Boatman]
  • A. Michael Boatman chosen
    Michael Boatman is an American actor and writer best known for his comedic and dramatic television roles in series such as Spin City and The Good Wife.
  • B. Colin Morgan
    Colin Morgan is a Northern Irish actor best known for his title role in the BBC fantasy series "Merlin" and various acclaimed stage and screen performances.
  • C. Angus Cloud
    Angus Cloud was an American actor best known for his breakout role as the lovable drug dealer Fezco on HBO's teen drama series "Euphoria."
  • D. Caleb Landry Jones
    Caleb Landry Jones is an American actor and musician known for his intense, often unsettling performances in films such as "Get Out," "Three Billboards Outside Ebbing, Missouri," and "Nitram."
  • E. Jaime King
    Jaime King is an American actress and former fashion model known for her roles in films like "Sin City" and the television series "Hart of Dixie."
  • 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_69ca83e25418819093c6503deeaf30de completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca96f87ac8190b2fc6d2b2834c1b6 completed April 1, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0484e580c8190944ad76f6ef0be9d completed April 3, 2026, 11:07 p.m.
Created at: March 30, 2026, 7:20 p.m.