Triple

T3403791
Position Surface form Disambiguated ID Type / Status
Subject Tanita Strahan E71719 entity
Predicate relative P37 FINISHED
Object Isabella Strahan E39869 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: Isabella Strahan | Statement: [Tanita Strahan, relative, Isabella Strahan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Isabella Strahan
Context triple: [Tanita Strahan, relative, Isabella Strahan]
  • A. Isabella Strahan chosen
    Isabella Strahan is an American college student and model best known as the daughter of former NFL star and television personality Michael Strahan.
  • B. Isabella Harris
    Isabella Harris was the mother of pioneering British surgeon and antiseptic surgery innovator Joseph Lister.
  • C. Isabella Damon
    Isabella Damon is one of American actor Matt Damon's daughters, known primarily for being part of his private family life.
  • D. Isabel Booth
    Isabel Booth is a member of the Booth family and the sister of American film actress Edwina Booth.
  • E. Isabel Bradley
    Isabel Bradley is a central character in the 1946 film adaptation of W. Somerset Maugham's "The Razor's Edge," known as a sophisticated, ambitious socialite whose choices profoundly affect the protagonist's spiritual journey.
  • 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_69ad85aac4808190a092c9cc8911f584 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb8e8ea848190b4ac167f1aba8ebd completed March 8, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3bb7335ac81908b8e31dc7fb3d273 completed March 13, 2026, 7:23 a.m.
Created at: March 8, 2026, 3:14 p.m.