Triple

T141816
Position Surface form Disambiguated ID Type / Status
Subject Herbert Hoover E2868 entity
Predicate familyName P18 FINISHED
Object Hoover
Hoover is a surname most prominently associated with Herbert Hoover, the 31st president of the United States.
 E16693 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: Hoover | Statement: [Herbert Hoover, familyName, Hoover]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hoover
Context triple: [Herbert Hoover, familyName, Hoover]
  • A. Rockwell
    Rockwell is an American singer and songwriter best known for his 1984 hit single "Somebody's Watching Me."
  • B. Packard
    Packard is a surname most prominently associated with David Packard, the American electrical engineer and co-founder of Hewlett-Packard.
  • C. Dewey
    Dewey is the main town and administrative center of the island-municipality of Culebra, Puerto Rico.
  • D. Porter
    Porter is a transit station in Cambridge, Massachusetts that serves both MBTA commuter rail and Red Line subway services.
  • E. Seward’s Icebox
    Seward’s Icebox is a derisive 19th-century nickname for the U.S. acquisition of Alaska, mocking Secretary of State William H. Seward’s purchase as a frozen, worthless wasteland.
  • 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: Hoover
Triple: [Herbert Hoover, familyName, Hoover]
Generated description
Hoover is a surname most prominently associated with Herbert Hoover, the 31st president of the United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hoover
Target entity description: Hoover is a surname most prominently associated with Herbert Hoover, the 31st president of the United States.
  • A. Rockwell
    Rockwell is an American singer and songwriter best known for his 1984 hit single "Somebody's Watching Me."
  • B. Packard
    Packard is a surname most prominently associated with David Packard, the American electrical engineer and co-founder of Hewlett-Packard.
  • C. Dewey
    Dewey is the main town and administrative center of the island-municipality of Culebra, Puerto Rico.
  • D. Porter
    Porter is a transit station in Cambridge, Massachusetts that serves both MBTA commuter rail and Red Line subway services.
  • E. Seward’s Icebox
    Seward’s Icebox is a derisive 19th-century nickname for the U.S. acquisition of Alaska, mocking Secretary of State William H. Seward’s purchase as a frozen, worthless wasteland.
  • 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_69a2521e35c08190b28e5c9f1e3c9b59 completed Feb. 28, 2026, 2:25 a.m.
NER Named-entity recognition batch_69a257c9cab8819095e8d9fa32c1fbc6 completed Feb. 28, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2b85fe4d481909e39b745857b62e7 completed Feb. 28, 2026, 9:41 a.m.
NEDg Description generation batch_69a2b8fccfe081909f9b3d4c5f900a1c completed Feb. 28, 2026, 9:44 a.m.
NED2 Entity disambiguation (via description) batch_69a2b983d1d081909a850747695b8e0c completed Feb. 28, 2026, 9:46 a.m.
Created at: Feb. 28, 2026, 2:31 a.m.