Triple

T7914477
Position Surface form Disambiguated ID Type / Status
Subject Michele Timms E183784 entity
Predicate name P16 FINISHED
Object Michele Timms E183784 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: Michele Timms | Statement: [Michele Timms, name, Michele Timms]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michele Timms
Context triple: [Michele Timms, name, Michele Timms]
  • A. Michele Timms chosen
    Michele Timms is a pioneering Australian basketball point guard renowned for her international success and trailblazing role in women’s professional basketball.
  • B. Michele Marsh
    Michele Marsh is an American actress best known for her role as Hodel in the 1971 film adaptation of the musical "Fiddler on the Roof."
  • C. Michele Ridge
    Michele Ridge is an American civic leader and philanthropist known for her public service work and as the wife of former Pennsylvania governor and first U.S. Secretary of Homeland Security Tom Ridge.
  • D. Lawrie Langer
    Lawrie Langer is an individual notable enough to be recognized as a prominent bearer of the surname Langer.
  • E. Martin Boddey
    Martin Boddey was a British character actor known for his frequent supporting roles in mid-20th-century films and television, often portraying authority figures such as policemen and officials.
  • 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_69ca828efbe48190bd48482650182e79 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a759b548190af2e2aa0705d7051 completed March 31, 2026, 3:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbdff156c481909a32be8828f407ad completed March 31, 2026, 2:53 p.m.
Created at: March 30, 2026, 5:04 p.m.