Triple
T1697758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anton Rodgers |
E36696
|
entity |
| Predicate | Brendan Rodgers |
P31285
|
FINISHED |
| Object | instanceOf |
—
|
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: instanceOf | Statement: [Anton Rodgers, Brendan Rodgers, instanceOf]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Brendan Rodgers Context triple: [Anton Rodgers, Brendan Rodgers, instanceOf]
-
A.
Michael Bradley
Indicates a relationship or action involving an entity named Michael Bradley, though the specific nature of the relationship or action is not defined by the predicate alone.
-
B.
firstHeadCoach
Indicates that the referenced person served as the inaugural head coach of the specified team or organization.
-
C.
sportingDirector
Indicates that one entity serves as the sporting director (overseeing sports-related operations and strategy) for another entity, typically a sports club or organization.
-
D.
headCoachEnd
Indicates the point in time or event at which an entity’s role or tenure as a head coach comes to an end.
-
E.
coachOf
Indicates that one entity serves as the coach (trainer or manager) of another entity, typically a person or team.
- F. None of above. chosen
Provenance (4 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_69a886163dec8190859c514232a37a05 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aaf169da888190b3aa334752f1952b |
completed | March 6, 2026, 3:23 p.m. |
| PD | Predicate disambiguation | batch_69aa61b8ce348190b46154af0b041ff0 |
completed | March 6, 2026, 5:10 a.m. |
| PDg | Predicate description generation | batch_69aaf16865488190a76577b36760dc7a |
completed | March 6, 2026, 3:23 p.m. |
Created at: March 4, 2026, 7:30 p.m.