Triple

T38057374
Position Surface form Disambiguated ID Type / Status
Subject Glenbuck Cherrypickers F.C. E950240 entity
Predicate hasNotablePlayer P9730 FINISHED
Object Bob Shankly
Bob Shankly was a Scottish footballer and manager, best known for his successful spell in charge of Dundee FC and as the brother of legendary Liverpool manager Bill Shankly.
E2255763 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: Bob Shankly | Statement: [Glenbuck Cherrypickers F.C., hasNotablePlayer, Bob Shankly]
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: Bob Shankly
Triple: [Glenbuck Cherrypickers F.C., hasNotablePlayer, Bob Shankly]
Generated description
Bob Shankly was a Scottish footballer and manager, best known for his successful spell in charge of Dundee FC and as the brother of legendary Liverpool manager Bill Shankly.

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_69f76f01e63c819093b6012fc974f35a completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fbca0479208190b3e8a50ef8bf8c3f completed May 6, 2026, 11:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a416801f21081908f14feb1b2ae0253 completed June 28, 2026, 6:29 p.m.
NEDg Description generation batch_6a4169348974819084f87c65d760bcfc completed June 28, 2026, 6:34 p.m.
NED2 Entity disambiguation (via description) batch_6a416a50e8e48190bdca9011f38d6436 completed June 28, 2026, 6:39 p.m.
Created at: May 3, 2026, 4:21 p.m.