Triple

T4222171
Position Surface form Disambiguated ID Type / Status
Subject Wait E94366 entity
Predicate hasVariant P455 FINISHED
Object Waitstill
Waitstill is an uncommon given name of English origin, historically used in Puritan communities and derived from the word "wait."
 E422513 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: Waitstill | Statement: [Wait, hasVariant, Waitstill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Waitstill
Context triple: [Wait, hasVariant, Waitstill]
  • A. Lewis Branscomb
    Lewis Branscomb was an American physicist and influential science and technology policy leader known for his work at the intersection of research, innovation, and public policy.
  • B. Lud Wray
    Lud Wray was an early professional football coach and executive best known for co-founding and serving as the first head coach of the Philadelphia Eagles in the NFL.
  • C. John Billington
    John Billington was an English settler best known as one of the Mayflower passengers at Plymouth Colony and the first person executed for murder in what became the United States.
  • D. Melville Tucker
    Melville Tucker is a film producer best known for his work on the 1980 comedy movie "Stir Crazy."
  • E. John Vance
    John Vance is a British legal figure who succeeded Henry Wade as Director of Public Prosecutions in England and Wales.
  • 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: Waitstill
Triple: [Wait, hasVariant, Waitstill]
Generated description
Waitstill is an uncommon given name of English origin, historically used in Puritan communities and derived from the word "wait."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Waitstill
Target entity description: Waitstill is an uncommon given name of English origin, historically used in Puritan communities and derived from the word "wait."
  • A. Lewis Branscomb
    Lewis Branscomb was an American physicist and influential science and technology policy leader known for his work at the intersection of research, innovation, and public policy.
  • B. Lud Wray
    Lud Wray was an early professional football coach and executive best known for co-founding and serving as the first head coach of the Philadelphia Eagles in the NFL.
  • C. John Billington
    John Billington was an English settler best known as one of the Mayflower passengers at Plymouth Colony and the first person executed for murder in what became the United States.
  • D. Melville Tucker
    Melville Tucker is a film producer best known for his work on the 1980 comedy movie "Stir Crazy."
  • E. John Vance
    John Vance is a British legal figure who succeeded Henry Wade as Director of Public Prosecutions in England and Wales.
  • 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_69b3451997e08190851db4a9a588837d completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b34e0e06d881908e3aa8ef1a90c010 completed March 12, 2026, 11:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69b59642720c81908e68a56b3d30eef9 completed March 14, 2026, 5:09 p.m.
NEDg Description generation batch_69b596cb73ac81909f83daca406ad8c4 completed March 14, 2026, 5:11 p.m.
NED2 Entity disambiguation (via description) batch_69b59a9c386081909c21ad554d403bfc completed March 14, 2026, 5:27 p.m.
Created at: March 12, 2026, 11:04 p.m.