Triple

T36134357

Position	Surface form	Disambiguated ID	Type / Status
Subject	1971 Nebraska vs. Oklahoma football game	`E1045119`	entity
Predicate	notablePlayerOklahoma	`P204759`	FINISHED
Object	Greg Pruitt Greg Pruitt is a former All-American running back for the University of Oklahoma who went on to a successful NFL career primarily with the Cleveland Browns.	`E2169512`	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: Greg Pruitt | Statement: [1971 Nebraska vs. Oklahoma football game, notablePlayerOklahoma, Greg Pruitt]

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: Greg Pruitt
Triple: [1971 Nebraska vs. Oklahoma football game, notablePlayerOklahoma, Greg Pruitt]

Generated description

Greg Pruitt is a former All-American running back for the University of Oklahoma who went on to a successful NFL career primarily with the Cleveland Browns.

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_69f76e36a4508190b5bfc8f594272a4c`	completed	May 3, 2026, 3:48 p.m.
NER	Named-entity recognition	`batch_6a03809bd57c8190beb371feaf44a7db`	completed	May 12, 2026, 7:33 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a38de1767908190a8187a2d31e65422`	completed	June 22, 2026, 7:02 a.m.
NEDg	Description generation	`batch_6a38f40acb308190aff77733b25dfaed`	completed	June 22, 2026, 8:36 a.m.
NED2	Entity disambiguation (via description)	`batch_6a38f7c56b90819082c99f6e90f235e7`	completed	June 22, 2026, 8:52 a.m.

Created at: May 3, 2026, 4:08 p.m.