Triple

T35493198
Position Surface form Disambiguated ID Type / Status
Subject WWF Attitude Era E1025783 entity
Predicate featuredEvent P6628 FINISHED
Object King of the Ring 1998
King of the Ring 1998 was a notable World Wrestling Federation pay-per-view event during the Attitude Era, remembered for its intense tournament matches and dramatic storylines.
E2141699 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: King of the Ring 1998 | Statement: [WWF Attitude Era, featuredEvent, King of the Ring 1998]
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: King of the Ring 1998
Triple: [WWF Attitude Era, featuredEvent, King of the Ring 1998]
Generated description
King of the Ring 1998 was a notable World Wrestling Federation pay-per-view event during the Attitude Era, remembered for its intense tournament matches and dramatic storylines.

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_69f76dfbcdd881908c7b0b6bc502252b completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7973108a481909a4fef68781f065d completed May 3, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38404893a88190926119f1c7aa37d5 completed June 21, 2026, 7:49 p.m.
NEDg Description generation batch_6a384111e28081908d39f5e030e77e2e completed June 21, 2026, 7:52 p.m.
NED2 Entity disambiguation (via description) batch_6a3841822db481908a4d803576fd1510 completed June 21, 2026, 7:54 p.m.
Created at: May 3, 2026, 4:04 p.m.