Triple

T8448164
Position Surface form Disambiguated ID Type / Status
Subject Agatha Christie E199731 entity
Predicate familyName P18 FINISHED
Object Christie E246913 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: Christie | Statement: [Agatha Christie, familyName, Christie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christie
Context triple: [Agatha Christie, familyName, Christie]
  • A. Christie chosen
    Christie is a surname most prominently associated with English actress Gwendoline Christie, known for her roles in "Game of Thrones" and the "Star Wars" sequel trilogy.
  • B. Le Fel
    Le Fel is a commune in southern France whose name is borne by the Entraygues-le-Fel Appellation d'Origine Contrôlée wine region.
  • C. Dame
    Dame is the popular nickname of NBA All-Star point guard Damian Lillard, known for his clutch shooting and leadership.
  • D. Dame
    Dame is a British honorific title bestowed primarily upon women in recognition of significant contributions to national life, often in the arts, public service, or other distinguished fields.
  • E. Winstone
    Winstone is an English surname most notably borne by actor Ray Winstone, known for his tough-guy roles in film and television.
  • 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_69ca83170f9081909cd98f55614c6476 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe44480ec8190b32443a53cd4f943 completed March 31, 2026, 3:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce1dbf2e2c8190b20e842438acb4d5 completed April 2, 2026, 7:41 a.m.
Created at: March 30, 2026, 6:09 p.m.