Triple

T10201725
Position Surface form Disambiguated ID Type / Status
Subject Almost Human E238897 entity
Predicate portrayedBy P1507 FINISHED
Object Michael Ealy E71672 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 Ealy | Statement: [Almost Human, portrayedBy, Michael Ealy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Ealy
Context triple: [Almost Human, portrayedBy, Michael Ealy]
  • A. Michael Ealy chosen
    Michael Ealy is an American actor known for his roles in films like "Barbershop," "Think Like a Man," and "2 Fast 2 Furious," as well as various television series.
  • B. Jason Mitchell
    Jason Mitchell is an American actor known for his breakout role as Eazy-E in "Straight Outta Compton" and appearances in films such as "Mudbound" and "Kong: Skull Island."
  • C. James Clemons
    James Clemons is an individual whose specific public notability or distinguishing background is not clearly identifiable from the given information.
  • D. Luke Goss
    Luke Goss is an English actor and former drummer best known for his roles in genre films such as "Blade II" and "Hellboy II: The Golden Army."
  • E. Eriq La Salle
    Eriq La Salle is an American actor, director, and producer best known for his role as Dr. Peter Benton on the television series "ER."
  • 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_69ca84e1ea088190b38162e43d4cfa8f completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdee40cb7481908a1bf4d5636eb8ef completed April 2, 2026, 4:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69d355169f308190b6f66248aee4a9e8 completed April 6, 2026, 6:39 a.m.
Created at: March 30, 2026, 9:14 p.m.