Triple

T10100006
Position Surface form Disambiguated ID Type / Status
Subject Margaret Diana Bingham E216174 entity
Predicate familyName P18 FINISHED
Object Bingham E271166 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: Bingham | Statement: [Margaret Diana Bingham, familyName, Bingham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bingham
Context triple: [Margaret Diana Bingham, familyName, Bingham]
  • A. Bingham chosen
    Bingham is a surname most notably associated with the 19th-century American painter George Caleb Bingham.
  • B. Bingham
    Bingham is a small market town in Nottinghamshire, England, known for its historic center and role as a local commercial and residential hub.
  • C. Bingham
    Bingham is a residential suburb in the east of Edinburgh, Scotland, known for its post-war housing and proximity to major transport routes.
  • D. Ellnora
    Ellnora is a feminine given name most notably borne by American philanthropist Ellnora Decker Krannert, a major benefactor of arts and education.
  • E. Tinnum
    Tinnum is a village on the German North Sea island of Sylt, known for its historic Tinnum Castle earthwork and its proximity to the island’s main town, Westerland.
  • 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_69ca83d039f08190b9d10363221c69fb completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cdd07d686481908d9bb91392954474 completed April 2, 2026, 2:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b6cb50b08190a0ff42c60d338c79 completed April 5, 2026, 7:23 p.m.
Created at: March 30, 2026, 9:02 p.m.