Triple

T26175803
Position Surface form Disambiguated ID Type / Status
Subject Sandbach School E654535 entity
Predicate hasNotableAlumni P51 FINISHED
Object Nigel Worthington
Nigel Worthington is a former professional footballer and manager from Northern Ireland, best known for playing as a defender and managing the Northern Ireland national team.
E1749392 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: Nigel Worthington | Statement: [Sandbach School, hasNotableAlumni, Nigel Worthington]
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: Nigel Worthington
Triple: [Sandbach School, hasNotableAlumni, Nigel Worthington]
Generated description
Nigel Worthington is a former professional footballer and manager from Northern Ireland, best known for playing as a defender and managing the Northern Ireland national team.

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_69ee5b45873c81909499203612d05d07 completed April 26, 2026, 6:36 p.m.
NER Named-entity recognition batch_69f60c6bc408819098c4288f77d75e38 completed May 2, 2026, 2:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12296f79708190afdda5867918924d completed May 23, 2026, 10:25 p.m.
NEDg Description generation batch_6a122a2048408190a3a8cf5a2efa9b08 completed May 23, 2026, 10:28 p.m.
NED2 Entity disambiguation (via description) batch_6a122ac1713481909a80761bb471ef49 completed May 23, 2026, 10:31 p.m.
Created at: April 26, 2026, 8:37 p.m.