Triple

T27174915
Position Surface form Disambiguated ID Type / Status
Subject Otis Thorpe E683016 entity
Predicate hasWon P2624 FINISHED
Object NBA championship
The NBA championship is the title awarded annually to the team that wins the National Basketball Association's postseason Finals series, crowning them the league's overall champion.
E4082 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: NBA championship | Statement: [Otis Thorpe, hasWon, NBA 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: NBA championship
Triple: [Otis Thorpe, hasWon, NBA championship]
Generated description
The NBA championship is the title awarded annually to the team that wins the National Basketball Association's postseason Finals series, crowning them the league's overall champion.

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_69eefad086808190ab89816c0c300476 completed April 27, 2026, 5:57 a.m.
NER Named-entity recognition batch_69f62579073c8190af7e10be70f2379d completed May 2, 2026, 4:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1262648bb881908af64157017170cb completed May 24, 2026, 2:28 a.m.
NEDg Description generation batch_6a12686ad9cc8190a4c36c60d8d99104 completed May 24, 2026, 2:54 a.m.
NED2 Entity disambiguation (via description) batch_6a126901467481909e689c279e3516c1 completed May 24, 2026, 2:57 a.m.
Created at: April 27, 2026, 9:25 a.m.