Triple
T10458349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wayne |
E246604
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Wayne Rooney |
E132921
|
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: Wayne Rooney | Statement: [Wayne, hasNotableBearer, Wayne Rooney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wayne Rooney Context triple: [Wayne, hasNotableBearer, Wayne Rooney]
-
A.
Wayne Rooney
chosen
Wayne Rooney is an English former professional footballer and current manager, best known as Manchester United and England’s all-time leading goalscorer.
-
B.
Kerry Rooney
Kerry Rooney is one of the children of American model and actress Barbara Ann Thomason, who was also known as Carolyn Mitchell.
-
C.
Peter Welbeck
Peter Welbeck is a screenwriting pseudonym used by British filmmaker and producer Harry Alan Towers, credited on numerous genre and exploitation films.
-
D.
Rooney
Rooney is a prominent American family name most famously associated with the longtime owners of the NFL’s Pittsburgh Steelers.
-
E.
Rooney
Rooney is the distinctive given name of American actress Rooney Mara, known for her roles in films such as "The Girl with the Dragon Tattoo" and "Carol."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d381c04fe08190957c26c526a3b05a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4fe4a56e08190ab56d762d6a91b01 |
completed | April 7, 2026, 12:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d87f182cb481909f838d6d1dfa7e79 |
completed | April 10, 2026, 4:39 a.m. |
Created at: April 6, 2026, 12:18 p.m.