Triple

T27159999
Position Surface form Disambiguated ID Type / Status
Subject WNBA Top 20@20 selection E682633 entity
Predicate relatedTo P37 FINISHED
Object WNBA All-Decade Team
The WNBA All-Decade Team is an honorary lineup recognizing the league’s most outstanding and influential players from its first ten years of competition.
 E1756964 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: WNBA All-Decade Team | Statement: [WNBA Top 20@20 selection, relatedTo, WNBA All-Decade Team]
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: WNBA All-Decade Team
Triple: [WNBA Top 20@20 selection, relatedTo, WNBA All-Decade Team]
Generated description
The WNBA All-Decade Team is an honorary lineup recognizing the league’s most outstanding and influential players from its first ten years of competition.

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_69eefacf6e788190a75a64399d9e3109 completed April 27, 2026, 5:57 a.m.
NER Named-entity recognition batch_69f62509f5ec8190a6bc6ca211a0f6a1 completed May 2, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12482f6cb48190bd78b3438590a610 completed May 24, 2026, 12:37 a.m.
NEDg Description generation batch_6a1248bbf1608190a87ffa2885256df7 completed May 24, 2026, 12:39 a.m.
NED2 Entity disambiguation (via description) batch_6a12495a291481909f278a9bd423fea7 completed May 24, 2026, 12:42 a.m.
Created at: April 27, 2026, 9:18 a.m.