Triple

T23995013
Position Surface form Disambiguated ID Type / Status
Subject Finn Bálor E605165 entity
Predicate ringName P20821 FINISHED
Object Prince Devitt
Prince Devitt is the early ring name of Irish professional wrestler Finn Bálor, under which he gained prominence in New Japan Pro-Wrestling and co-founded the Bullet Club faction.
E1615046 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: Prince Devitt | Statement: [Finn Bálor, ringName, Prince Devitt]
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: Prince Devitt
Triple: [Finn Bálor, ringName, Prince Devitt]
Generated description
Prince Devitt is the early ring name of Irish professional wrestler Finn Bálor, under which he gained prominence in New Japan Pro-Wrestling and co-founded the Bullet Club faction.

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_69e295463f7c8190b1c19dbd114641b9 completed April 17, 2026, 8:17 p.m.
NER Named-entity recognition batch_69f1d38ec7cc8190b91cfa09f88dacc6 completed April 29, 2026, 9:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f7e90c4c881908e1147d092f0516e completed May 21, 2026, 9:52 p.m.
NEDg Description generation batch_6a0f802b8e04819099001da0a868103b completed May 21, 2026, 9:59 p.m.
NED2 Entity disambiguation (via description) batch_6a0f811a519481908a9f47c03317cfd3 completed May 21, 2026, 10:03 p.m.
Created at: April 17, 2026, 9:38 p.m.