Triple

T4367181
Position Surface form Disambiguated ID Type / Status
Subject Wayman Crow E98804 entity
Predicate givenName P17 FINISHED
Object Wayman
Wayman is a masculine given name of English origin that has been borne by various notable American figures, including politicians and academics.
E433747 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: Wayman | Statement: [Wayman Crow, givenName, Wayman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wayman
Context triple: [Wayman Crow, givenName, Wayman]
  • A. Manning
    Manning is an English-language surname borne by numerous notable figures across politics, sports, literature, and other fields.
  • B. Quarles
    Quarles is a surname of English origin borne by various notable individuals, including politicians, judges, and writers.
  • C. Wentz
    Wentz is the surname of Carson Wentz, an American football quarterback known for his time with the Philadelphia Eagles and other NFL teams.
  • D. Payton
    Payton is the surname of Sean Payton, a prominent American football coach best known for his long tenure with the New Orleans Saints.
  • E. Haven Daboll
    Haven Daboll is a member of the Daboll family, known publicly as a relative of NFL head coach Brian Daboll.
  • 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: Wayman
Triple: [Wayman Crow, givenName, Wayman]
Generated description
Wayman is a masculine given name of English origin that has been borne by various notable American figures, including politicians and academics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Wayman
Target entity description: Wayman is a masculine given name of English origin that has been borne by various notable American figures, including politicians and academics.
  • A. Manning
    Manning is an English-language surname borne by numerous notable figures across politics, sports, literature, and other fields.
  • B. Quarles
    Quarles is a surname of English origin borne by various notable individuals, including politicians, judges, and writers.
  • C. Wentz
    Wentz is the surname of Carson Wentz, an American football quarterback known for his time with the Philadelphia Eagles and other NFL teams.
  • D. Payton
    Payton is the surname of Sean Payton, a prominent American football coach best known for his long tenure with the New Orleans Saints.
  • E. Haven Daboll
    Haven Daboll is a member of the Daboll family, known publicly as a relative of NFL head coach Brian Daboll.
  • 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_69b3454db3708190aeafd814413c4c3d completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35201be7081908808e81634060f95 completed March 12, 2026, 11:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5dbcec90881908fe83c83119d99fe completed March 14, 2026, 10:06 p.m.
NEDg Description generation batch_69b5dc3e4c488190a06421cdb3b168c3 completed March 14, 2026, 10:07 p.m.
NED2 Entity disambiguation (via description) batch_69b5e0432bfc8190b18bbe918de1f297 completed March 14, 2026, 10:25 p.m.
Created at: March 12, 2026, 11:17 p.m.