Triple

T22105141
Position Surface form Disambiguated ID Type / Status
Subject The Cup That Counts E546265 entity
Predicate hasWord P35 FINISHED
Object Counts
"Counts" is a word commonly used to denote numerical tallies or the act of determining a total.
 E1518158 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: Counts | Statement: [The Cup That Counts, hasWord, Counts]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Counts
Context triple: [The Cup That Counts, hasWord, Counts]
  • A. Count
    Count was the stage name of William "Count" Basie, the influential American jazz pianist, organist, bandleader, and composer who helped define the swing era.
  • B. Count
    Count is a European noble title historically ranking below a marquis and above a viscount, often associated with governance of a county.
  • C. CNT
    CNT is the commonly used abbreviation for the USA Baseball Collegiate National Team, which features top U.S. college baseball players in international competition.
  • D. CNT
    CNT is a historic anarcho-syndicalist trade union and political organization in Spain known for its leading role in workers’ movements and the Spanish Civil War.
  • E. CNT
    CNT is the three-letter station code used to identify Canning Town Underground station in London’s transport network.
  • 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: Counts
Triple: [The Cup That Counts, hasWord, Counts]
Generated description
"Counts" is a word commonly used to denote numerical tallies or the act of determining a total.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Counts
Target entity description: "Counts" is a word commonly used to denote numerical tallies or the act of determining a total.
  • A. Count
    Count is a European noble title historically ranking below a marquis and above a viscount, often associated with governance of a county.
  • B. Count
    Count was the stage name of William "Count" Basie, the influential American jazz pianist, organist, bandleader, and composer who helped define the swing era.
  • C. CNT
    CNT is the commonly used abbreviation for the USA Baseball Collegiate National Team, which features top U.S. college baseball players in international competition.
  • D. CNT
    CNT is a historic anarcho-syndicalist trade union and political organization in Spain known for its leading role in workers’ movements and the Spanish Civil War.
  • E. CNT
    CNT is the three-letter station code used to identify Canning Town Underground station in London’s transport network.
  • 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_69e11e378dc08190896d6a51597afd5a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12918d7a4819080283c287a253c9f completed April 28, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a87a70bd881909ba61f007a3fe0d9 completed May 18, 2026, 3:29 a.m.
NEDg Description generation batch_6a0a895ef5288190a0390f96efd33d44 completed May 18, 2026, 3:37 a.m.
NED2 Entity disambiguation (via description) batch_6a0a89c9c35081909c874c659d4a084f completed May 18, 2026, 3:38 a.m.
Created at: April 16, 2026, 8:30 p.m.