Triple

T5858481
Position Surface form Disambiguated ID Type / Status
Subject Teresa Weatherspoon E130213 entity
Predicate isKnownAs P39 FINISHED
Object T-Spoon
T-Spoon is the nickname of Teresa Weatherspoon, a former WNBA star point guard and Hall of Famer known for her defensive prowess and clutch play.
 E550286 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: T-Spoon | Statement: [Teresa Weatherspoon, isKnownAs, T-Spoon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: T-Spoon
Context triple: [Teresa Weatherspoon, isKnownAs, T-Spoon]
  • A. Croon-Spoon
    "Croon-Spoon" is a song from the 1937 political musical *The Cradle Will Rock* by Marc Blitzstein.
  • B. Spoonful
    "Spoonful" is a classic blues song, written by Willie Dixon and popularized by Howlin' Wolf, that has become a standard in the Chicago blues repertoire.
  • C. Tarbock
    Tarbock is a village in the Metropolitan Borough of Knowsley in Merseyside, England, known historically for its agricultural roots and rural character.
  • D. Tupper
    Tupper is a surname of English and Scottish origin borne by various notable individuals across fields such as politics, literature, and the arts.
  • E. Toker
    Toker is a variant form of the given name or surname Tucker, used as an alternative spelling or derivative.
  • 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: T-Spoon
Triple: [Teresa Weatherspoon, isKnownAs, T-Spoon]
Generated description
T-Spoon is the nickname of Teresa Weatherspoon, a former WNBA star point guard and Hall of Famer known for her defensive prowess and clutch play.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: T-Spoon
Target entity description: T-Spoon is the nickname of Teresa Weatherspoon, a former WNBA star point guard and Hall of Famer known for her defensive prowess and clutch play.
  • A. Croon-Spoon
    "Croon-Spoon" is a song from the 1937 political musical *The Cradle Will Rock* by Marc Blitzstein.
  • B. Spoonful
    "Spoonful" is a classic blues song, written by Willie Dixon and popularized by Howlin' Wolf, that has become a standard in the Chicago blues repertoire.
  • C. Tarbock
    Tarbock is a village in the Metropolitan Borough of Knowsley in Merseyside, England, known historically for its agricultural roots and rural character.
  • D. Tupper
    Tupper is a surname of English and Scottish origin borne by various notable individuals across fields such as politics, literature, and the arts.
  • E. Toker
    Toker is a variant form of the given name or surname Tucker, used as an alternative spelling or derivative.
  • 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_69c0084f3bb08190a7720f55f7aa4252 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0358654e48190908e7390a0164726 completed March 22, 2026, 6:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a1c3a69881908ffeee1ddbeb8618 completed March 23, 2026, 2:13 a.m.
NEDg Description generation batch_69c0a258fa208190a06b457e7856c338 completed March 23, 2026, 2:15 a.m.
NED2 Entity disambiguation (via description) batch_69c0a310d2d08190a8dab95f9eef2815 completed March 23, 2026, 2:18 a.m.
Created at: March 22, 2026, 3:56 p.m.