Triple

T35805420

Position	Surface form	Disambiguated ID	Type / Status
Subject	Batista vs Triple H	`E1035089`	entity
Predicate	thirdMajorMatchEvent	`P191038`	FINISHED
Object	Vengeance 2005 Vengeance 2005 was a WWE pay-per-view event headlined by the heated World Heavyweight Championship rivalry between Batista and Triple H.	`E2156134`	NE FINISHED

How this triple was built (3 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: Vengeance 2005 | Statement: [Batista vs Triple H, thirdMajorMatchEvent, Vengeance 2005]

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: Vengeance 2005
Triple: [Batista vs Triple H, thirdMajorMatchEvent, Vengeance 2005]

Generated description

Vengeance 2005 was a WWE pay-per-view event headlined by the heated World Heavyweight Championship rivalry between Batista and Triple H.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: thirdMajorMatchEvent
Context triple: [Batista vs Triple H, thirdMajorMatchEvent, Vengeance 2005]

A. hasThirdPlaceMatch
Indicates that a competition or tournament includes a specific match played to determine the third-place finisher between the losing semifinalists or equivalent contenders.
B. isThirdMLSChampionshipMatch
Indicates that the match is the third championship (final) game in the history of Major League Soccer.
C. thirdPlaceMatchScore
Indicates the score recorded in a match that determines the third-place finisher in a competition or tournament.
D. thirdMainCardBout chosen
Indicates a bout or match that is scheduled as the third main card fight in an event’s lineup.
E. decisiveMatchOf
Indicates that one entity is a match for another in a way that determines or strongly influences a final outcome or decision.
F. None of above.

Provenance (6 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_69fcef654d588190b29ecc76678d1aa0`	completed	May 7, 2026, 8 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.
PD	Predicate disambiguation	`batch_69fcecdb97f48190b382b7d13be92dc0`	completed	May 7, 2026, 7:49 p.m.

Created at: May 3, 2026, 4:06 p.m.