Triple
T26885425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Milner |
E677027
|
entity |
| Predicate | hasPlayedUnderManager |
P34189
|
FINISHED |
| Object | Rafael Benítez |
—
|
NE NERFINISHED |
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: Rafael Benítez | Statement: [James Milner, hasPlayedUnderManager, Rafael Benítez]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPlayedUnderManager Context triple: [James Milner, hasPlayedUnderManager, Rafael Benítez]
-
A.
playedForManager
chosen
Indicates that one person was a player on a team that was managed or coached by another person.
-
B.
workedInLeagueAsManager
Indicates that a person has held a managerial role within a specific sports league.
-
C.
positionPlayedAsManager
Indicates the specific position or role a person held while serving as a manager (e.g., head coach, assistant manager) for a team or organization.
-
D.
workedUnderHeadCoach
Indicates that one person held a role or position under the authority or supervision of another person who was serving as the head coach.
-
E.
totalSeasonsManaged
Indicates the total number of seasons during which an entity has managed another entity (such as a team, organization, or project).
- 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_69eee9bc0c90819085608c8bdc513a57 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f6c49627908190b3553474c7c3072b |
completed | May 3, 2026, 3:44 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f23ae081909a52801266063a3c |
completed | May 3, 2026, 3:41 a.m. |
Created at: April 27, 2026, 5:41 a.m.