Triple

T17304690
Position Surface form Disambiguated ID Type / Status
Subject Waters E420130 entity
Predicate hasVariant P455 FINISHED
Object Watters
Watters is a surname that functions as a variant spelling of the more common name Waters.
 E1261290 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: Watters | Statement: [Waters, hasVariant, Watters]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Watters
Context triple: [Waters, hasVariant, Watters]
  • A. Walters
    Walters is a common English surname borne by numerous notable individuals across fields such as acting, politics, and sports.
  • B. Watkins
    Watkins is a surname most prominently associated with Sherron Watkins, the former Enron vice president who became widely known as a corporate whistleblower.
  • C. Wattis
    Wattis is an English surname most notably associated with character actor Richard Wattis, known for his roles in mid-20th-century British cinema and television.
  • D. Wicks
    Wicks is a surname most notably associated with former professional basketball player Sidney Wicks.
  • E. Waggaman
    Waggaman is a suburban community in southeastern Louisiana, located along the Mississippi River within the New Orleans metropolitan area.
  • 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: Watters
Triple: [Waters, hasVariant, Watters]
Generated description
Watters is a surname that functions as a variant spelling of the more common name Waters.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Watters
Target entity description: Watters is a surname that functions as a variant spelling of the more common name Waters.
  • A. Walters
    Walters is a common English surname borne by numerous notable individuals across fields such as acting, politics, and sports.
  • B. Watkins
    Watkins is a surname most prominently associated with Sherron Watkins, the former Enron vice president who became widely known as a corporate whistleblower.
  • C. Wattis
    Wattis is an English surname most notably associated with character actor Richard Wattis, known for his roles in mid-20th-century British cinema and television.
  • D. Wicks
    Wicks is a surname most notably associated with former professional basketball player Sidney Wicks.
  • E. Waggaman
    Waggaman is a suburban community in southeastern Louisiana, located along the Mississippi River within the New Orleans metropolitan area.
  • 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_69d886db32608190a61e18862c5a8af6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e438fe1d408190a429d1dba50d0c58 completed April 19, 2026, 2:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0180de8340819081eae1104d705de0 completed May 11, 2026, 7:10 a.m.
NEDg Description generation batch_6a0181ae2d588190a4ff68094529a994 completed May 11, 2026, 7:13 a.m.
NED2 Entity disambiguation (via description) batch_6a0182ccd104819088569cf0be87b4d3 completed May 11, 2026, 7:18 a.m.
Created at: April 10, 2026, 5:41 a.m.