Triple

T21295034
Position Surface form Disambiguated ID Type / Status
Subject Georgia Groome E524898 entity
Predicate name P16 FINISHED
Object Georgia Groome NE NERFINISHED

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: Georgia Groome | Statement: [Georgia Groome, name, Georgia Groome]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Georgia Groome
Context triple: [Georgia Groome, name, Georgia Groome]
  • A. Georgia Groome chosen
    Georgia Groome is an English actress best known for her lead role in the teen comedy film "Angus, Thongs and Perfect Snogging."
  • B. Glenda Crawford
    Glenda Crawford is the spirited American heiress who serves as the romantic lead in the 1940 musical film "Down Argentine Way."
  • C. Gail Greenwood
    Gail Greenwood is an American musician best known as the bassist for the alternative rock band Belly and later for L7.
  • D. Dottie Green
    Dottie Green was a catcher in the All-American Girls Professional Baseball League and a notable member of the Rockford Peaches.
  • E. Betty McDonald
    Betty McDonald is the mother of Claudia Martin, the daughter of legendary entertainer Dean Martin.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b517e6748190850d6f6ddf323d69 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e73857784881908c3b8418a4c00c1e completed April 21, 2026, 8:41 a.m.
Created at: April 16, 2026, 4:04 p.m.