Triple

T24380736
Position Surface form Disambiguated ID Type / Status
Subject Kim Perrot E614601 entity
Predicate championshipsWon P313 FINISHED
Object 1997 WNBA Championship
The 1997 WNBA Championship was the league’s inaugural title series, won by the Houston Comets and marking the first professional championship for guard Kim Perrot.
E1631386 NE FINISHED

How this triple was built (2 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: 1997 WNBA Championship | Statement: [Kim Perrot, championshipsWon, 1997 WNBA Championship]
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: 1997 WNBA Championship
Triple: [Kim Perrot, championshipsWon, 1997 WNBA Championship]
Generated description
The 1997 WNBA Championship was the league’s inaugural title series, won by the Houston Comets and marking the first professional championship for guard Kim Perrot.

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_69e2d7e362e481909e32fe4ef8269d4f completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f293db31c481908484ab28921cd5fd completed April 29, 2026, 11:27 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0fd67aa5f08190a8bb0d093261647a completed May 22, 2026, 4:07 a.m.
NEDg Description generation batch_6a0fd7cf2250819081957083d316e802 completed May 22, 2026, 4:13 a.m.
NED2 Entity disambiguation (via description) batch_6a0fd8d0f6848190a77aff96b4fbcc3d completed May 22, 2026, 4:17 a.m.
Created at: April 18, 2026, 2:03 a.m.