Triple

T38211840
Position Surface form Disambiguated ID Type / Status
Subject Johnny Majors E1010568 entity
Predicate coachTenureEnd P4346 FINISHED
Object Pittsburgh Panthers football 1976
The 1976 Pittsburgh Panthers football team, led by head coach Johnny Majors, won the national championship and is remembered as one of the program’s greatest seasons.
E2260317 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: Pittsburgh Panthers football 1976 | Statement: [Johnny Majors, coachTenureEnd, Pittsburgh Panthers football 1976]
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: Pittsburgh Panthers football 1976
Triple: [Johnny Majors, coachTenureEnd, Pittsburgh Panthers football 1976]
Generated description
The 1976 Pittsburgh Panthers football team, led by head coach Johnny Majors, won the national championship and is remembered as one of the program’s greatest seasons.

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_69f76dcdc7708190a5f1751d53f40ffe completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69fcb145183481909e4170b0409c8642 completed May 7, 2026, 3:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a418548be9081909e1f737983642fb4 completed June 28, 2026, 8:34 p.m.
NEDg Description generation batch_6a418629fdd88190869fffe5efa3fe59 completed June 28, 2026, 8:38 p.m.
NED2 Entity disambiguation (via description) batch_6a4186a6b2988190bada9bfa20bc2eee completed June 28, 2026, 8:40 p.m.
Created at: May 3, 2026, 4:30 p.m.