Triple

T8376014
Position Surface form Disambiguated ID Type / Status
Subject Tabitha Grant E197576 entity
Predicate birthName P65 FINISHED
Object Tabitha Jing Xi Grant E197576 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: Tabitha Jing Xi Grant | Statement: [Tabitha Grant, birthName, Tabitha Jing Xi Grant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tabitha Jing Xi Grant
Context triple: [Tabitha Grant, birthName, Tabitha Jing Xi Grant]
  • A. Tabitha Grant chosen
    Tabitha Grant is the daughter of British actor Hugh Grant and his former partner Tinglan Hong.
  • B. Tabitha King
    Tabitha King is an American author known for her novels and short stories, and as the wife of writer Stephen King.
  • C. Billie Tsien
    Billie Tsien is an American architect renowned for her thoughtful, materially rich institutional and cultural buildings, often designed in collaboration with her partner Tod Williams.
  • D. Ellen Lee Zhou
    Ellen Lee Zhou is a conservative social worker and community activist known for her long-shot campaigns for mayor of San Francisco, where she has promoted tough-on-crime and anti-establishment policies.
  • E. Christina Chang
    Christina Chang is a Taiwanese-American actress best known for her role as Dr. Audrey Lim on the medical drama series "The Good Doctor."
  • 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_69ca82f64c188190af4e1608036b865d completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb80bf6b8081909b98762b1f900bef completed March 31, 2026, 8:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde7f19ba08190a08cf5aea522c021 completed April 2, 2026, 3:52 a.m.
Created at: March 30, 2026, 6:01 p.m.