Triple

T4930435
Position Surface form Disambiguated ID Type / Status
Subject Michael Capellas E110680 entity
Predicate name P16 FINISHED
Object Michael Capellas E110680 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 Capellas | Statement: [Michael Capellas, name, Michael Capellas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Capellas
Context triple: [Michael Capellas, name, Michael Capellas]
  • A. Michael Capellas chosen
    Michael Capellas is an American technology executive best known for serving as CEO of Compaq and later playing a key role in its merger with Hewlett-Packard.
  • B. Leon Capetanos
    Leon Capetanos is an American screenwriter best known for his work on offbeat comedies, including collaborations with director Paul Mazursky.
  • C. Mark Dacascos
    Mark Dacascos is an American actor and martial artist known for his roles in action films and television, as well as for serving as the Chairman on the TV show "Iron Chef America."
  • D. Michael Athans
    Michael Athans was a prominent control theorist and MIT professor known for his pioneering contributions to modern control theory and systems engineering.
  • E. Owen Vaccaro
    Owen Vaccaro is an American child actor best known for his roles in family comedies such as the Daddy's Home films and The House with a Clock in Its Walls.
  • 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_69bd4415190c8190817bee7ec9f9f944 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd703a0fa48190809b6ac3f2731349 completed March 20, 2026, 4:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69be77af13308190b99f3aca0cb44c61 completed March 21, 2026, 10:49 a.m.
Created at: March 20, 2026, 1:30 p.m.