Triple

T8450567
Position Surface form Disambiguated ID Type / Status
Subject For Colored Girls E199787 entity
Predicate leadActor P1507 FINISHED
Object Hill Harper E359698 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: Hill Harper | Statement: [For Colored Girls, leadActor, Hill Harper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hill Harper
Context triple: [For Colored Girls, leadActor, Hill Harper]
  • A. Hill Harper chosen
    Hill Harper is an American actor and author best known for his role as Dr. Sheldon Hawkes on the television series CSI: NY.
  • B. Terrence Howard
    Terrence Howard is an American actor and singer known for his roles in films like "Hustle & Flow" and the TV series "Empire."
  • C. Orlando Jones
    Orlando Jones is an American actor and comedian known for his roles in television and film, including his prominent part in the supernatural drama series "Sleepy Hollow."
  • D. Orlando Jones
    Orlando Jones was an early 18th-century Virginia planter and colonial official connected to the prominent Jones and Dandridge families.
  • E. Edwin Hodge
    Edwin Hodge is an American actor known for his roles in films and television series such as the Purge franchise, Six, and various guest appearances on popular TV shows.
  • 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_69ca8318231881908fd1bc1c4d45d286 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe44815488190a912d63512e19af0 completed March 31, 2026, 3:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce4dc984ec8190910e25f36d538928 completed April 2, 2026, 11:06 a.m.
Created at: March 30, 2026, 6:09 p.m.