Triple

T14323811
Position Surface form Disambiguated ID Type / Status
Subject Wanda Hutchins E355163 entity
Predicate hasChild P369 FINISHED
Object Michael Strahan Jr. E3076 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 Strahan Jr. | Statement: [Wanda Hutchins, hasChild, Michael Strahan Jr.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Strahan Jr.
Context triple: [Wanda Hutchins, hasChild, Michael Strahan Jr.]
  • A. Michael Strahan chosen
    Michael Strahan is a former NFL defensive end, best known for his dominant career with the New York Giants and subsequent work as a television personality and host.
  • B. Art Strahan
    Art Strahan is a former American football player best known as the uncle of Pro Football Hall of Famer and television personality Michael Strahan.
  • C. Ben Marino
    Ben Marino is a character in the musical "Fiorello!" who serves as a politically savvy associate within the world of New York City machine politics.
  • D. Mike Jacobs Jr.
    Mike Jacobs Jr. is a film producer best known for his work on the 1995 adaptation of "Freaky Friday."
  • E. Michael Jeter
    Michael Jeter was an American character actor known for his eccentric, heartfelt performances in film, television, and theater, including notable roles in projects like The Green Mile, Evening Shade, and Sesame Street.
  • 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_69d8278fa2108190bc0d0e7939c1eb03 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de883d1de88190a1e2bf2f1b692197 completed April 14, 2026, 6:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5506cfb08190b4754e16b83331bd completed May 8, 2026, 3:14 a.m.
Created at: April 10, 2026, 1:13 a.m.