Triple

T10459192
Position Surface form Disambiguated ID Type / Status
Subject Junior Cook E246624 entity
Predicate givenName P17 FINISHED
Object Herman
Herman is a person known by the given name Herman, associated with the role or title of Junior Cook.
 E865854 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: Herman | Statement: [Junior Cook, givenName, Herman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Herman
Context triple: [Junior Cook, givenName, Herman]
  • A. Herman
    Herman is a surname most notably associated with Edward S. Herman, an American economist, media analyst, and critic of U.S. foreign policy.
  • B. Herman
    Herman is the given name of Belgian politician Herman De Croo, a long-serving liberal statesman and former President of the Belgian Chamber of Representatives.
  • C. Herman
    Herman is the middle name of legendary American baseball player Babe Ruth, whose full name was George Herman Ruth Jr.
  • D. Herman
    Herman is the given first name of the American blues singer and harmonica player Junior Parker.
  • E. Hermann
    Hermann is the obsessive, tormented protagonist of Alexander Pushkin’s novella "The Queen of Spades," whose fixation on a secret winning card formula leads to his psychological and moral downfall.
  • 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: Herman
Triple: [Junior Cook, givenName, Herman]
Generated description
Herman is a person known by the given name Herman, associated with the role or title of Junior Cook.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Herman
Target entity description: Herman is a person known by the given name Herman, associated with the role or title of Junior Cook.
  • A. Herman
    Herman is a surname most notably associated with Edward S. Herman, an American economist, media analyst, and critic of U.S. foreign policy.
  • B. Herman
    Herman is the given name of Belgian politician Herman De Croo, a long-serving liberal statesman and former President of the Belgian Chamber of Representatives.
  • C. Herman
    Herman is the middle name of legendary American baseball player Babe Ruth, whose full name was George Herman Ruth Jr.
  • D. Herman
    Herman is the given first name of the American blues singer and harmonica player Junior Parker.
  • E. Hermann
    Hermann is the obsessive, tormented protagonist of Alexander Pushkin’s novella "The Queen of Spades," whose fixation on a secret winning card formula leads to his psychological and moral downfall.
  • 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_69d381c04fe08190957c26c526a3b05a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4fe4b6d408190af59104a44871578 completed April 7, 2026, 12:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69d89fbf3a308190af6b605ce781396a completed April 10, 2026, 6:59 a.m.
NEDg Description generation batch_69d8a2f4bbec8190a5c508c6431d71b2 completed April 10, 2026, 7:12 a.m.
NED2 Entity disambiguation (via description) batch_69d8aff34c7081909c3504e00f56d9ec completed April 10, 2026, 8:08 a.m.
Created at: April 6, 2026, 12:18 p.m.