Triple

T21105560
Position Surface form Disambiguated ID Type / Status
Subject George Hall E520032 entity
Predicate hasFamilyName P18 FINISHED
Object Hall 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: Hall | Statement: [George Hall, hasFamilyName, Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hall
Context triple: [George Hall, hasFamilyName, Hall]
  • A. Hall
    Hall is a small rural village and outer suburb of Canberra in the Australian Capital Territory, known for its historic character and village atmosphere.
  • B. Hall chosen
    Hall is a common English surname borne by numerous notable individuals across diverse fields such as science, arts, and public life.
  • C. Hall H
    Hall H is the massive, high-profile main presentation hall at San Diego Comic-Con, famed for hosting the convention’s biggest and most anticipated panels and premieres.
  • D. The Hall
    The Hall is the popular nickname for Calihan Hall, an indoor arena on the University of Detroit Mercy campus known primarily as the home of the Titans basketball program.
  • E. Hall 5
    Hall 5 is one of the exhibition and event halls within the AsiaWorld-Expo convention and entertainment complex in Hong Kong.
  • 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_69e0b509a318819092fbbcb21d1fe603 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e71b62301c819082cfc6cb3cd11c8c completed April 21, 2026, 6:38 a.m.
Created at: April 16, 2026, 2:53 p.m.