Triple

T35805549
Position Surface form Disambiguated ID Type / Status
Subject Ron Simmons E1035092 entity
Predicate hallOfFameInduction P1750 FINISHED
Object WWE Hall of Fame 2012
WWE Hall of Fame 2012 is a professional wrestling hall of fame class inducted by WWE that honored notable figures such as Ron Simmons for their contributions to the industry.
E2156140 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: WWE Hall of Fame 2012 | Statement: [Ron Simmons, hallOfFameInduction, WWE Hall of Fame 2012]
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: WWE Hall of Fame 2012
Triple: [Ron Simmons, hallOfFameInduction, WWE Hall of Fame 2012]
Generated description
WWE Hall of Fame 2012 is a professional wrestling hall of fame class inducted by WWE that honored notable figures such as Ron Simmons for their contributions to the industry.

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_69f76e169bd081909f16cd8c9ee7870c completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7a8d742bc819086edf930657d658e completed May 3, 2026, 7:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38916e5b0481908c47addd6f929756 completed June 22, 2026, 1:35 a.m.
NEDg Description generation batch_6a38922d9814819089669865036c8474 completed June 22, 2026, 1:38 a.m.
NED2 Entity disambiguation (via description) batch_6a3892ae3d608190b6594f287fa7ff6d completed June 22, 2026, 1:41 a.m.
Created at: May 3, 2026, 4:06 p.m.