Triple

T1641157
Position Surface form Disambiguated ID Type / Status
Subject Wyatt Tee Walker E35473 entity
Predicate familyName P18 FINISHED
Object Walker
Walker is a common English surname borne by numerous notable individuals across fields such as politics, sports, the arts, and civil rights leadership.
 E186941 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: Walker | Statement: [Wyatt Tee Walker, familyName, Walker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Walker
Context triple: [Wyatt Tee Walker, familyName, Walker]
  • A. Blake
    Blake is a given name and surname used in English-speaking countries for people of any gender.
  • B. Jack
    Jack is a common masculine given name, often used as a familiar form of John and widely featured in English-language literature and popular culture.
  • C. Smith
    Smith is a common English surname borne by numerous notable individuals across diverse fields such as politics, arts, sports, and academia.
  • D. Wilkin
    Wilkin is a medieval English given name that originated as a diminutive form of William and later gave rise to the surname Wilkinson.
  • E. Wallen
    Wallen is the colloquial Dutch name for Amsterdam’s famous Red Light District, known for its historic canals, legalized prostitution, and vibrant nightlife.
  • 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: Walker
Triple: [Wyatt Tee Walker, familyName, Walker]
Generated description
Walker is a common English surname borne by numerous notable individuals across fields such as politics, sports, the arts, and civil rights leadership.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Walker
Target entity description: Walker is a common English surname borne by numerous notable individuals across fields such as politics, sports, the arts, and civil rights leadership.
  • A. Blake
    Blake is a given name and surname used in English-speaking countries for people of any gender.
  • B. Jack
    Jack is a common masculine given name, often used as a familiar form of John and widely featured in English-language literature and popular culture.
  • C. Smith
    Smith is a common English surname borne by numerous notable individuals across diverse fields such as politics, arts, sports, and academia.
  • D. Wilkin
    Wilkin is a medieval English given name that originated as a diminutive form of William and later gave rise to the surname Wilkinson.
  • E. Wallen
    Wallen is the colloquial Dutch name for Amsterdam’s famous Red Light District, known for its historic canals, legalized prostitution, and vibrant nightlife.
  • 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_69a88604618c81908b41f6429c431eb6 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90a3c883c8190bec1d87ecedf2575 completed March 5, 2026, 4:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad609cf8488190ba334bdff2c5e78d completed March 8, 2026, 11:42 a.m.
NEDg Description generation batch_69ad61ff65b881909009c230780a146e completed March 8, 2026, 11:48 a.m.
NED2 Entity disambiguation (via description) batch_69ad62ec3a80819085fef1c378b9abdc completed March 8, 2026, 11:52 a.m.
Created at: March 4, 2026, 7:28 p.m.