Triple

T3616525
Position Surface form Disambiguated ID Type / Status
Subject Michael P. Brenner E76613 entity
Predicate familyName P18 FINISHED
Object Brenner
Brenner is a surname of German origin borne by various notable individuals across fields such as science, politics, and the arts.
 E373850 NE FINISHED

How this triple was built (4 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: Brenner | Statement: [Michael P. Brenner, familyName, Brenner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Brenner
Context triple: [Michael P. Brenner, familyName, Brenner]
  • A. Brenz
    The Brenz is a river in southern Germany that flows through Baden-Württemberg and Bavaria before joining the Danube.
  • B. Brinkin
    Brinkin is a coastal residential suburb in Darwin, Northern Territory, known for its proximity to Charles Darwin University and Casuarina Beach.
  • C. Broglien
    A Broglien is a resident or native of the commune of Broglie in the Eure department of northern France.
  • D. Rennahan
    Rennahan is a surname most notably associated with Ray Rennahan, an American cinematographer known for his pioneering work with Technicolor.
  • E. Kuppenheimer
    Kuppenheimer was a prominent American men's clothing company best known for its high-quality suits and influential early 20th-century advertising campaigns.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Brenner
Triple: [Michael P. Brenner, familyName, Brenner]
Generated description
Brenner is a surname of German origin borne by various notable individuals across fields such as science, politics, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Brenner
Target entity description: Brenner is a surname of German origin borne by various notable individuals across fields such as science, politics, and the arts.
  • A. Brenz
    The Brenz is a river in southern Germany that flows through Baden-Württemberg and Bavaria before joining the Danube.
  • B. Brinkin
    Brinkin is a coastal residential suburb in Darwin, Northern Territory, known for its proximity to Charles Darwin University and Casuarina Beach.
  • C. Broglien
    A Broglien is a resident or native of the commune of Broglie in the Eure department of northern France.
  • D. Rennahan
    Rennahan is a surname most notably associated with Ray Rennahan, an American cinematographer known for his pioneering work with Technicolor.
  • E. Kuppenheimer
    Kuppenheimer was a prominent American men's clothing company best known for its high-quality suits and influential early 20th-century advertising campaigns.
  • F. None of above. chosen

Provenance (5 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_69ad85dae2fc81908d1ceadbc6af0089 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc27c98088190a493c9eddf6b206a completed March 8, 2026, 6:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4331a82688190add137b1f68c955e completed March 13, 2026, 3:54 p.m.
NEDg Description generation batch_69b438135e8c81909c56e1c04499268b completed March 13, 2026, 4:15 p.m.
NED2 Entity disambiguation (via description) batch_69b4388a1ecc81908e1de9f8bcfc008d completed March 13, 2026, 4:17 p.m.
Created at: March 8, 2026, 3:23 p.m.