Triple

T25488116
Position Surface form Disambiguated ID Type / Status
Subject Mick McManus E638767 entity
Predicate birthName P65 FINISHED
Object William George MacManus
William George MacManus was the English professional wrestler better known by his ring name Mick McManus, a prominent star of British wrestling television in the mid-20th century.
E1700786 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: William George MacManus | Statement: [Mick McManus, birthName, William George MacManus]
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: William George MacManus
Triple: [Mick McManus, birthName, William George MacManus]
Generated description
William George MacManus was the English professional wrestler better known by his ring name Mick McManus, a prominent star of British wrestling television in the mid-20th century.

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_69e75dbabeac8190bab30628f8b799d4 completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f5f77dd964819096ec6b2bff5757a6 completed May 2, 2026, 1:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10ec8c4e7081909c3f50e2732fe35e completed May 22, 2026, 11:53 p.m.
NEDg Description generation batch_6a10edf7ff0c8190935a637ff0df364b completed May 22, 2026, 11:59 p.m.
NED2 Entity disambiguation (via description) batch_6a10ef6b80248190be0346728653b12a completed May 23, 2026, 12:06 a.m.
Created at: April 21, 2026, 2:33 p.m.