Triple

T14189849
Position Surface form Disambiguated ID Type / Status
Subject Jill Furman E351682 entity
Predicate notableCollaboration P8554 FINISHED
Object Sander Jacobs E257061 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: Sander Jacobs | Statement: [Jill Furman, notableCollaboration, Sander Jacobs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sander Jacobs
Context triple: [Jill Furman, notableCollaboration, Sander Jacobs]
  • A. Sander Jacobs chosen
    Sander Jacobs is a film and television producer known for his work on the acclaimed musical film adaptation of "Hamilton."
  • B. Sander van Doorn
    Sander van Doorn is a Dutch DJ and electronic music producer known for his influential work in trance and progressive house.
  • C. Sander Loones
    Sander Loones is a Belgian politician and member of the New Flemish Alliance (N-VA) who has served in both national and European political roles.
  • D. Sander Kleinenberg
    Sander Kleinenberg is a Dutch DJ and producer known for his influential role in progressive house and his innovative use of audiovisual elements in live performances.
  • E. Saunder Jurriaans
    Saunder Jurriaans is an American composer and musician best known for his atmospheric film and television scores, often created in collaboration with Danny Bensi.
  • 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_69d827894ac0819097803e57f3227b23 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61df628c8190ba3f557e2128dce5 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bb5a64c81908cb8c50bbfa239a4 completed May 8, 2026, 3:42 a.m.
Created at: April 10, 2026, 1:03 a.m.