Triple

T39013
Position Surface form Disambiguated ID Type / Status
Subject William E772 entity
Predicate hasVariant P455 FINISHED
Object Bill
Bill is a common masculine given name, typically used as a diminutive or nickname for William.
 E17085 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: Bill | Statement: [William, hasVariant, Bill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bill
Context triple: [William, hasVariant, Bill]
  • A. 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.
  • B. John
    John H. Sununu is an American politician and engineer who served as Governor of New Hampshire and later as White House Chief of Staff under President George H. W. Bush.
  • C. Stephen
    Stephen is the middle name of Harold Stephen Black, an American electrical engineer known for inventing the negative feedback amplifier.
  • D. Earl
    An Earl is a noble rank in the British and some European peerage systems, historically positioned below a marquess and above a viscount.
  • E. Dennis
    Dennis is a coastal town on Cape Cod in Massachusetts known for its beaches, historic charm, and popular summer tourism.
  • 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: Bill
Triple: [William, hasVariant, Bill]
Generated description
Bill is a common masculine given name, typically used as a diminutive or nickname for William.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bill
Target entity description: Bill is a common masculine given name, typically used as a diminutive or nickname for William.
  • A. 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.
  • B. John
    John H. Sununu is an American politician and engineer who served as Governor of New Hampshire and later as White House Chief of Staff under President George H. W. Bush.
  • C. Stephen
    Stephen is the middle name of Harold Stephen Black, an American electrical engineer known for inventing the negative feedback amplifier.
  • D. Earl
    An Earl is a noble rank in the British and some European peerage systems, historically positioned below a marquess and above a viscount.
  • E. Dennis
    Dennis is a coastal town on Cape Cod in Massachusetts known for its beaches, historic charm, and popular summer tourism.
  • 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_69a2bf62f0f481909e1efb2f3b903694 completed Feb. 28, 2026, 10:11 a.m.
NEDg Description generation batch_69a2bfc230b0819084d773474e8fcbfe completed Feb. 28, 2026, 10:13 a.m.
NED2 Entity disambiguation (via description) batch_69a2c09721a88190a6268360c34a0b01 completed Feb. 28, 2026, 10:16 a.m.
Created at: Feb. 28, 2026, 1:46 a.m.