Triple

T13941803
Position Surface form Disambiguated ID Type / Status
Subject Conrad Bain E335273 entity
Predicate familyName P18 FINISHED
Object Bain E889552 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: Bain | Statement: [Conrad Bain, familyName, Bain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bain
Context triple: [Conrad Bain, familyName, Bain]
  • A. Bain chosen
    Bain is a variant form of the name or term "Bean," used as an alternative spelling or version in certain contexts.
  • B. Bowen
    Bowen is a coastal town in Queensland, Australia, known for its beaches, tropical climate, and position near the Whitsunday Islands.
  • C. Bowen
    Bowen is a surname of English and Welsh origin borne by various notable individuals across fields such as science, politics, and the arts.
  • D. Beynes
    Beynes is a commune in the Yvelines department of the Île-de-France region in north-central France.
  • E. Bavay
    Bavay is a commune in northern France known for its extensive Roman archaeological remains, including the ancient city of Bagacum, once a major administrative center in Gallia Belgica.
  • 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_69d81c6081b88190b53e317c3370c8fe completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2cf6e29881908ddb8efca9a456a3 completed April 14, 2026, 12:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7ce8bbd8c819084703298ed6d9c87 completed May 3, 2026, 10:39 p.m.
Created at: April 9, 2026, 10:17 p.m.