Triple

T27879831
Position Surface form Disambiguated ID Type / Status
Subject Abyss E705055 entity
Predicate championshipHeld P71446 FINISHED
Object TNA Global Championship
The TNA Global Championship was a mid-card professional wrestling title in Total Nonstop Action Wrestling that underwent several rebrandings, including as the Legends and Television Championships.
E1041941 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: TNA Global Championship | Statement: [Abyss, championshipHeld, TNA Global Championship]
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: TNA Global Championship
Triple: [Abyss, championshipHeld, TNA Global Championship]
Generated description
The TNA Global Championship was a mid-card professional wrestling title in Total Nonstop Action Wrestling that underwent several rebrandings, including as the Legends and Television Championships.

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_69ef84111bb4819084298f994b31c62f completed April 27, 2026, 3:43 p.m.
NER Named-entity recognition batch_69f63981aadc819093720bbf6d7f035c completed May 2, 2026, 5:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2505867f048190a48c760a11857e2c completed June 7, 2026, 5:45 a.m.
NEDg Description generation batch_6a2509ba31c8819082af4190ac01be51 completed June 7, 2026, 6:03 a.m.
NED2 Entity disambiguation (via description) batch_6a250e35cb2c81909d7632be22680434 completed June 7, 2026, 6:22 a.m.
Created at: April 27, 2026, 6:29 p.m.