Triple

T16325826
Position Surface form Disambiguated ID Type / Status
Subject Mary Elizabeth Taylor E396414 entity
Predicate memberOf P10 FINISHED
Object Taylor family unclear NED1 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: Taylor family | Statement: [Mary Elizabeth Taylor, memberOf, Taylor family]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taylor family
Context triple: [Mary Elizabeth Taylor, memberOf, Taylor family]
  • A. Taylor family
    The Taylor family is a namesake benefactor family recognized for its significant contributions that led to the naming of Taylor Stadium at Simmons Field.
  • B. Taylor family
    The Taylor family is a prominent Hollywood dynasty best known for including legendary actress Elizabeth Taylor and her descendants, such as her son Michael Wilding Jr.
  • C. Taylor family
    The Taylor family is a familial group centered around individuals sharing the Taylor surname, including Alex Taylor and their relatives.
  • D. Taylor family
    The Taylor family is the American political family to which Margaret Taylor, the wife of 12th U.S. president Zachary Taylor, belonged.
  • E. Tyler family
    The Tyler family is a historically significant family associated with the land and legacy that became the Tyler Arboretum in Pennsylvania.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69d87f255b788190a400eba031dd85d8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e296b9dcb88190beb0ca2206729175 completed April 17, 2026, 8:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a004f3d8f188190969b75d82c6b13f0 completed May 10, 2026, 9:26 a.m.
Created at: April 10, 2026, 5:06 a.m.