Triple

T38038361
Position Surface form Disambiguated ID Type / Status
Subject VUU Panthers E949410 entity
Predicate hasWomen'sTeamsCollectiveName P35850 FINISHED
Object Lady Panthers
Lady Panthers is the collective name for the women's athletic teams representing Virginia Union University.
 E2252776 NE FINISHED

How this triple was built (3 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: Lady Panthers | Statement: [VUU Panthers, hasWomen'sTeamsCollectiveName, Lady Panthers]
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: Lady Panthers
Triple: [VUU Panthers, hasWomen'sTeamsCollectiveName, Lady Panthers]
Generated description
Lady Panthers is the collective name for the women's athletic teams representing Virginia Union University.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasWomen'sTeamsCollectiveName
Context triple: [VUU Panthers, hasWomen'sTeamsCollectiveName, Lady Panthers]
  • A. hasWomenTeamInLeague
    Indicates that an entity has a women’s team that participates in a specified league.
  • B. hasGenderedTeams chosen
    Indicates that the entity organizes or participates in teams that are separated or defined based on gender.
  • C. featuresWomenTeams
    Indicates that the subject includes, presents, or involves teams composed of women.
  • D. womenTeam
    Indicates that the team is composed of women or is designated as a women’s team.
  • E. womenTeamsCount
    Indicates the number of teams composed of women associated with a given entity or context.
  • F. None of above.

Provenance (6 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_69f76eff0bb0819084bc4e63997bd039 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fef5cf8da881908260ec633830375d completed May 9, 2026, 8:52 a.m.
NED1 Entity disambiguation (via context triple) batch_6a41544935e88190a7662f209c8f88f7 completed June 28, 2026, 5:05 p.m.
NEDg Description generation batch_6a4154d1dd508190870e7b59978d7bff completed June 28, 2026, 5:07 p.m.
NED2 Entity disambiguation (via description) batch_6a41554619d481909f942a9704016d1c completed June 28, 2026, 5:09 p.m.
PD Predicate disambiguation batch_69fef455e40481909861c82007b79bc0 completed May 9, 2026, 8:46 a.m.
Created at: May 3, 2026, 4:20 p.m.