Triple

T1225445
Position Surface form Disambiguated ID Type / Status
Subject Jean Faircloth E26316 entity
Predicate familyName P18 FINISHED
Object Faircloth
Faircloth is an English-language surname of likely occupational or descriptive origin, borne by various notable individuals including Jean Faircloth.
 E142816 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: Faircloth | Statement: [Jean Faircloth, familyName, Faircloth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Faircloth
Context triple: [Jean Faircloth, familyName, Faircloth]
  • A. Winfield
    Winfield is a masculine given name most notably borne by 19th-century American military leader Winfield Scott.
  • B. Medstead
    Medstead is a rural village in Hampshire, England, known for its countryside setting and traditional English village character.
  • C. Cordele
    Cordele is a small city in south-central Georgia known as the "Watermelon Capital of the World" and as a regional hub along major highway and rail routes.
  • D. Burnett
    Burnett is a surname most famously associated with American comedian and actress Carol Burnett, a pioneering figure in television sketch comedy.
  • E. Woodfin
    Woodfin is the surname of Randall Woodfin, an American politician and mayor of Birmingham, Alabama.
  • 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: Faircloth
Triple: [Jean Faircloth, familyName, Faircloth]
Generated description
Faircloth is an English-language surname of likely occupational or descriptive origin, borne by various notable individuals including Jean Faircloth.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Faircloth
Target entity description: Faircloth is an English-language surname of likely occupational or descriptive origin, borne by various notable individuals including Jean Faircloth.
  • A. Winfield
    Winfield is a masculine given name most notably borne by 19th-century American military leader Winfield Scott.
  • B. Medstead
    Medstead is a rural village in Hampshire, England, known for its countryside setting and traditional English village character.
  • C. Cordele
    Cordele is a small city in south-central Georgia known as the "Watermelon Capital of the World" and as a regional hub along major highway and rail routes.
  • D. Burnett
    Burnett is a surname most famously associated with American comedian and actress Carol Burnett, a pioneering figure in television sketch comedy.
  • E. Woodfin
    Woodfin is the surname of Randall Woodfin, an American politician and mayor of Birmingham, Alabama.
  • 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_69a49484688c8190a1bf285eb396a8b6 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4be382c4081909238c18b805352a7 completed March 1, 2026, 10:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac8f71aaa481909736d21705744341 completed March 7, 2026, 8:49 p.m.
NEDg Description generation batch_69ac90311f408190b6e86b5287fb4468 completed March 7, 2026, 8:53 p.m.
NED2 Entity disambiguation (via description) batch_69ac911b6ab8819088773c2ca4e9fade completed March 7, 2026, 8:56 p.m.
Created at: March 1, 2026, 7:47 p.m.