Triple

T785034
Position Surface form Disambiguated ID Type / Status
Subject Jeff Zients E16582 entity
Predicate familyName P18 FINISHED
Object Zients
Zients is the surname of Jeff Zients, an American businessman and government official who has served in senior economic and management roles in the U.S. federal government.
 E94283 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: Zients | Statement: [Jeff Zients, familyName, Zients]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zients
Context triple: [Jeff Zients, familyName, Zients]
  • A. Yunaska
    Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
  • B. Golus
    Golus is a Yiddish term referring to the Jewish exile and dispersion from their ancestral homeland, encompassing both the physical diaspora and its spiritual-historical implications.
  • C. Soral
    Soral is a small rural municipality in southwestern Switzerland, located in the canton of Geneva near the French border.
  • D. Hamutal
    Hamutal was a queen of Judah, known as the mother of the last king of Judah, Zedekiah, during the final years before the Babylonian exile.
  • E. Sinte
    Sinte is an alternative self-designation used by the Sinti, a subgroup of the Romani people primarily found in Central Europe.
  • 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: Zients
Triple: [Jeff Zients, familyName, Zients]
Generated description
Zients is the surname of Jeff Zients, an American businessman and government official who has served in senior economic and management roles in the U.S. federal government.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zients
Target entity description: Zients is the surname of Jeff Zients, an American businessman and government official who has served in senior economic and management roles in the U.S. federal government.
  • A. Yunaska
    Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
  • B. Golus
    Golus is a Yiddish term referring to the Jewish exile and dispersion from their ancestral homeland, encompassing both the physical diaspora and its spiritual-historical implications.
  • C. Soral
    Soral is a small rural municipality in southwestern Switzerland, located in the canton of Geneva near the French border.
  • D. Hamutal
    Hamutal was a queen of Judah, known as the mother of the last king of Judah, Zedekiah, during the final years before the Babylonian exile.
  • E. Sinte
    Sinte is an alternative self-designation used by the Sinti, a subgroup of the Romani people primarily found in Central Europe.
  • 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_69a4936ad1fc81908f190208059ccf78 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a76b0d6c8190a09b1a0bd4a6eeec completed March 1, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69a67efd612481909580fbef3605dcbc completed March 3, 2026, 6:26 a.m.
NEDg Description generation batch_69a67f5a246481908bde953b245a6b5e completed March 3, 2026, 6:27 a.m.
NED2 Entity disambiguation (via description) batch_69a6808fe5748190b95959ee23ee6241 completed March 3, 2026, 6:32 a.m.
Created at: March 1, 2026, 7:37 p.m.