Triple

T26414664
Position Surface form Disambiguated ID Type / Status
Subject Hoop Collective E664051 entity
Predicate hasGuest P10756 FINISHED
Object ESPN NBA reporters
ESPN NBA reporters are basketball journalists and analysts who provide in-depth coverage, news, and commentary on the National Basketball Association for ESPN across its various platforms.
E1723699 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: ESPN NBA reporters | Statement: [Hoop Collective, hasGuest, ESPN NBA reporters]
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: ESPN NBA reporters
Triple: [Hoop Collective, hasGuest, ESPN NBA reporters]
Generated description
ESPN NBA reporters are basketball journalists and analysts who provide in-depth coverage, news, and commentary on the National Basketball Association for ESPN across its various platforms.

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_69ee883a04ec81908883c4559f8c7e24 completed April 26, 2026, 9:48 p.m.
NER Named-entity recognition batch_69f611350a1481909e103dcb4f6264fe completed May 2, 2026, 2:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11aebdd1c8819095f71674942703ae completed May 23, 2026, 1:42 p.m.
NEDg Description generation batch_6a11af6832f08190ab2673c8502f0526 completed May 23, 2026, 1:45 p.m.
NED2 Entity disambiguation (via description) batch_6a11b0097edc81909327051db358c7b1 completed May 23, 2026, 1:47 p.m.
Created at: April 26, 2026, 11:40 p.m.