Triple

T12157936
Position Surface form Disambiguated ID Type / Status
Subject Murray Weidenbaum E289626 entity
Predicate familyName P18 FINISHED
Object Weidenbaum
Weidenbaum is a surname most notably associated with Murray Weidenbaum, an American economist and former chairman of the U.S. Council of Economic Advisers.
 E967017 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: Weidenbaum | Statement: [Murray Weidenbaum, familyName, Weidenbaum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Weidenbaum
Context triple: [Murray Weidenbaum, familyName, Weidenbaum]
  • A. Dannhauser
    Dannhauser is a small town and local municipality in KwaZulu-Natal, South Africa, known historically for coal mining and agriculture.
  • B. Baumwerder
    Baumwerder is a small island located in Tegeler See, a lake in the Berlin district of Reinickendorf, Germany.
  • C. Riedholz
    Riedholz is a small Swiss municipality located in the canton of Solothurn.
  • D. Braunshardt
    Braunshardt is a district of the town of Weiterstadt in the state of Hesse, Germany.
  • E. Kestenholz
    Kestenholz is a municipality in the canton of Solothurn in Switzerland, located in the Gäu district.
  • 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: Weidenbaum
Triple: [Murray Weidenbaum, familyName, Weidenbaum]
Generated description
Weidenbaum is a surname most notably associated with Murray Weidenbaum, an American economist and former chairman of the U.S. Council of Economic Advisers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Weidenbaum
Target entity description: Weidenbaum is a surname most notably associated with Murray Weidenbaum, an American economist and former chairman of the U.S. Council of Economic Advisers.
  • A. Dannhauser
    Dannhauser is a small town and local municipality in KwaZulu-Natal, South Africa, known historically for coal mining and agriculture.
  • B. Baumwerder
    Baumwerder is a small island located in Tegeler See, a lake in the Berlin district of Reinickendorf, Germany.
  • C. Riedholz
    Riedholz is a small Swiss municipality located in the canton of Solothurn.
  • D. Braunshardt
    Braunshardt is a district of the town of Weiterstadt in the state of Hesse, Germany.
  • E. Kestenholz
    Kestenholz is a municipality in the canton of Solothurn in Switzerland, located in the Gäu district.
  • 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_69d6ab4c6710819097a9d228382dde43 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915c277e481908351bf4e664dda42 completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f69e8498819080d571e6fb4edfde completed May 2, 2026, 1:05 p.m.
NEDg Description generation batch_69f601e0777081909e1212436680a10d completed May 2, 2026, 1:53 p.m.
NED2 Entity disambiguation (via description) batch_69f602a21f948190849839301f49d55a completed May 2, 2026, 1:56 p.m.
Created at: April 8, 2026, 9:50 p.m.