Triple

T35492995
Position Surface form Disambiguated ID Type / Status
Subject OVW Heavyweight Championship E1025778 entity
Predicate hasNotableAlumni P51 FINISHED
Object Brent Albright
Brent Albright is an American professional wrestler best known for his work in WWE (as Gunner Scott), Ring of Honor, and various independent promotions, where he gained recognition as a technically skilled and hard-hitting competitor.
E2244769 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: Brent Albright | Statement: [OVW Heavyweight Championship, hasNotableAlumni, Brent Albright]
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: Brent Albright
Triple: [OVW Heavyweight Championship, hasNotableAlumni, Brent Albright]
Generated description
Brent Albright is an American professional wrestler best known for his work in WWE (as Gunner Scott), Ring of Honor, and various independent promotions, where he gained recognition as a technically skilled and hard-hitting competitor.

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_69f7972f535081908b76e690607ebb6b completed May 3, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a40fb5fcddc81909d5bdb15468b7f40 completed June 28, 2026, 10:45 a.m.
NEDg Description generation batch_6a40fc8d1b008190b9bff52786f646a3 completed June 28, 2026, 10:50 a.m.
NED2 Entity disambiguation (via description) batch_6a40fcf8f3a88190803a9504da1fdd3d completed June 28, 2026, 10:52 a.m.
Created at: May 3, 2026, 4:04 p.m.