Triple

T8086485
Position Surface form Disambiguated ID Type / Status
Subject Seymour Durst E188746 entity
Predicate familyName P18 FINISHED
Object Durst E188746 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: Durst | Statement: [Seymour Durst, familyName, Durst]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Durst
Context triple: [Seymour Durst, familyName, Durst]
  • A. Durst chosen
    Durst is a surname most prominently associated with the New York real estate–developing Durst family, including figures such as Joseph Durst and his descendants.
  • B. Duston
    Duston is a residential suburb and former village located to the west of Northampton in England.
  • C. Dellner
    Dellner is a company specializing in railway coupling and connection systems used on modern passenger and freight trains worldwide.
  • D. Dortch
    Dortch is a surname most notably associated with Helen Dortch Longstreet, an American social reformer, suffragist, and the second wife of Confederate General James Longstreet.
  • E. Dorn
    Dorn is a character in Anton Chekhov's play "The Seagull," serving as a doctor whose detached wisdom and ironic perspective influence the other characters' emotional turmoil.
  • 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_69ca82b662e88190b9323daab8c28a21 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4160e4748190ae63624a2a03d09f completed March 31, 2026, 3:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc93f6eb9c8190b33210621d215d56 completed April 1, 2026, 3:41 a.m.
Created at: March 30, 2026, 5:29 p.m.