Triple

T1320868
Position Surface form Disambiguated ID Type / Status
Subject Frank Wisner E28214 entity
Predicate familyName P18 FINISHED
Object Wisner
Wisner is a surname of German origin borne by various notable individuals across politics, intelligence, and other fields.
 E150848 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: Wisner | Statement: [Frank Wisner, familyName, Wisner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wisner
Context triple: [Frank Wisner, familyName, Wisner]
  • A. Worner
    Worner is a surname and variant spelling of "Warner," used by various individuals and families, particularly in English-speaking countries.
  • B. Willard
    Willard is a masculine given name of Old English origin meaning "resolute" or "strong-willed."
  • C. Witsell
    Witsell is a party involved in the U.S. Supreme Court case Toomer v. Witsell, which addressed constitutional limits on state regulation of commercial fishing by nonresidents.
  • D. Wilsen
    Wilsen is a variant form of the given name Wilson, used as a personal name or surname.
  • E. Warren
    Warren is a common English surname borne by numerous notable figures in politics, law, entertainment, and other fields.
  • 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: Wisner
Triple: [Frank Wisner, familyName, Wisner]
Generated description
Wisner is a surname of German origin borne by various notable individuals across politics, intelligence, and other fields.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wisner
Target entity description: Wisner is a surname of German origin borne by various notable individuals across politics, intelligence, and other fields.
  • A. Worner
    Worner is a surname and variant spelling of "Warner," used by various individuals and families, particularly in English-speaking countries.
  • B. Willard
    Willard is a masculine given name of Old English origin meaning "resolute" or "strong-willed."
  • C. Witsell
    Witsell is a party involved in the U.S. Supreme Court case Toomer v. Witsell, which addressed constitutional limits on state regulation of commercial fishing by nonresidents.
  • D. Zakheim
    Zakheim is a surname most notably associated with Bernard Zakheim, a Polish-born American muralist known for his New Deal–era public artworks in California.
  • E. Wilsen
    Wilsen is a variant form of the given name Wilson, used as a personal name or surname.
  • 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_69a498540a2481909e807a762280d3ba completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c19932888190a3d45871e84f112e completed March 1, 2026, 10:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69acbaf6a6d08190b8a30c2c64f15f59 completed March 7, 2026, 11:55 p.m.
NEDg Description generation batch_69acbbd8b6b881908412e5ab5d9baf79 completed March 7, 2026, 11:59 p.m.
NED2 Entity disambiguation (via description) batch_69acbd0dcf74819093b5985b0f3bc8a2 completed March 8, 2026, 12:04 a.m.
Created at: March 1, 2026, 7:55 p.m.