Triple

T32644710
Position Surface form Disambiguated ID Type / Status
Subject The Big Dog E834567 entity
Predicate notableMoment P259 FINISHED
Object won multiple WWE world titles as The Big Dog
The Big Dog is the dominant WWE persona of Roman Reigns, under which he became one of the company’s top main-event stars and a long-reigning world champion.
E314531 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: won multiple WWE world titles as The Big Dog | Statement: [The Big Dog, notableMoment, won multiple WWE world titles as The Big Dog]
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: won multiple WWE world titles as The Big Dog
Triple: [The Big Dog, notableMoment, won multiple WWE world titles as The Big Dog]
Generated description
The Big Dog is the dominant WWE persona of Roman Reigns, under which he became one of the company’s top main-event stars and a long-reigning world 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_69f3492e773c81908afc10651e46cad3 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6c7512108819080b6ef001b050ba5 completed May 3, 2026, 3:56 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3492a5bfac819081fb514632584915 completed June 19, 2026, 12:51 a.m.
NEDg Description generation batch_6a3493bc839c8190ade6ca8ccf125853 completed June 19, 2026, 12:56 a.m.
NED2 Entity disambiguation (via description) batch_6a34948e92348190bec1eb58502e919f completed June 19, 2026, 12:59 a.m.
Created at: May 1, 2026, 1:07 a.m.