Triple

T6257390
Position Surface form Disambiguated ID Type / Status
Subject Rachel Hall E140204 entity
Predicate familyName P18 FINISHED
Object Hall E141105 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: Hall | Statement: [Rachel Hall, familyName, Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hall
Context triple: [Rachel Hall, familyName, Hall]
  • A. Hall chosen
    Hall is a common English surname borne by numerous notable individuals across diverse fields such as science, arts, and public life.
  • B. Hall 2
    Hall 2 is one of the main concourse areas within Paris’s Gare de Lyon railway station, serving passengers with platforms, services, and amenities.
  • C. Hall A
    Hall A is one of the primary experimental halls at the Continuous Electron Beam Accelerator Facility (CEBAF), used for high-precision nuclear and particle physics experiments with electron beams.
  • D. Hall 1
    Hall 1 is one of the main passenger halls of Paris’s Gare de Lyon railway station, serving as a central area for platforms, services, and traveler amenities.
  • E. Hall C
    Hall C is one of the primary experimental halls at the Continuous Electron Beam Accelerator Facility (CEBAF), used for high-precision nuclear and particle physics experiments with electron beams.
  • 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_69c008c95c5c819084bd3dd56133d84d completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06366baa481908d59428cceabbe46 completed March 22, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c2443f0cb88190a32968fce0214045 completed March 24, 2026, 7:58 a.m.
Created at: March 22, 2026, 4:24 p.m.