Triple

T39012
Position Surface form Disambiguated ID Type / Status
Subject William E772 entity
Predicate hasVariant P455 FINISHED
Object Will
Will is a common shortened form of the given name William, frequently used as a familiar or informal first name.
 E3364 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: Will | Statement: [William, hasVariant, Will]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Will
Context triple: [William, hasVariant, Will]
  • A. WAI
    WAI (Web Accessibility Initiative) is a World Wide Web Consortium (W3C) program that develops guidelines, resources, and standards to make the web accessible to people with disabilities.
  • B. We
    "We" is Charles Lindbergh’s autobiographical account of his historic 1927 solo nonstop flight across the Atlantic and the events surrounding it.
  • C. You
    "You" refers to the collective community of internet users whose user-generated content and online collaboration transformed media, culture, and communication in the digital age.
  • D. WAS
    WAS is the standard three-letter abbreviation used for the Washington Commanders NFL franchise.
  • E. WAS
    WAS is the station code for Washington, D.C.’s main intercity and commuter rail hub, Union Station.
  • 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: Will
Triple: [William, hasVariant, Will]
Generated description
Will is a common shortened form of the given name William, frequently used as a familiar or informal first name.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Will
Target entity description: Will is a common shortened form of the given name William, frequently used as a familiar or informal first name.
  • A. WAI
    WAI (Web Accessibility Initiative) is a World Wide Web Consortium (W3C) program that develops guidelines, resources, and standards to make the web accessible to people with disabilities.
  • B. We
    "We" is Charles Lindbergh’s autobiographical account of his historic 1927 solo nonstop flight across the Atlantic and the events surrounding it.
  • C. You
    "You" refers to the collective community of internet users whose user-generated content and online collaboration transformed media, culture, and communication in the digital age.
  • D. WAS
    WAS is the standard three-letter abbreviation used for the Washington Commanders NFL franchise.
  • E. WAS
    WAS is the station code for Washington, D.C.’s main intercity and commuter rail hub, Union Station.
  • 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_69a247a8f6c08190bac804906d62ed5a completed Feb. 28, 2026, 1:40 a.m.
NER Named-entity recognition batch_69a24acd14b48190b80d4329621583df completed Feb. 28, 2026, 1:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69a24e6222408190bc317b90aea16849 completed Feb. 28, 2026, 2:09 a.m.
NEDg Description generation batch_69a250f6c0308190affd58f1bfa0c261 completed Feb. 28, 2026, 2:20 a.m.
NED2 Entity disambiguation (via description) batch_69a251b471688190b067c5db8f03ac47 completed Feb. 28, 2026, 2:23 a.m.
Created at: Feb. 28, 2026, 1:46 a.m.