Triple
T522488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ryan Giggs |
E10847
|
entity |
| Predicate | roleAtManchesterUnited |
P13665
|
FINISHED |
| Object | assistant manager |
—
|
LITERAL 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: assistant manager | Statement: [Ryan Giggs, roleAtManchesterUnited, assistant manager]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleAtManchesterUnited Context triple: [Ryan Giggs, roleAtManchesterUnited, assistant manager]
-
A.
joinedManchesterUnited
Indicates that an entity became a member of, or signed to play for, Manchester United.
-
B.
roleAtSportsTeam
chosen
Indicates the specific position or function an individual holds within a sports team.
-
C.
leftManchesterUnited
Indicates that an entity departed from or is no longer a member of Manchester United.
-
D.
communityShieldsWonWithManchesterUnited
Indicates the number of Community Shield titles an entity has won while playing for or managing Manchester United.
-
E.
roleInLeagueHistory
Indicates the specific function, contribution, or significance an entity has had within the historical development or narrative of a league.
- F. None of above.
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_69a2e84b16c4819088d284c47c3a7968 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f1b372408190b3918fec45444674 |
completed | Feb. 28, 2026, 1:46 p.m. |
| PD | Predicate disambiguation | batch_69a2f018129c81909494450fcba71b59 |
completed | Feb. 28, 2026, 1:39 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.