Triple
T20038456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Dillon |
E497342
|
entity |
| Predicate | teamRelationship |
P138462
|
FINISHED |
| Object | outsider to Dutch's team |
—
|
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: outsider to Dutch's team | Statement: [George Dillon, teamRelationship, outsider to Dutch's team]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teamRelationship Context triple: [George Dillon, teamRelationship, outsider to Dutch's team]
-
A.
associatedRivalry
Indicates a relationship where one entity is linked to another as its rival, competitor, or opposing counterpart.
-
B.
isPartOfRivalry
Indicates that one entity participates as a member or component in an ongoing rivalry involving another entity.
-
C.
rivalTeam
Indicates that one team is in a competitive or adversarial relationship with another team, often vying for superiority or dominance.
-
D.
fanBaseRelationship
Indicates a relationship in which one party is a fan or supporter of another, typically involving admiration, following, or dedicated interest.
-
E.
associatedTeamName
Indicates the name of the team that is linked or connected to a given entity.
- 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_69da627278c88190babe4297a9df1236 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e662e9e99c81909b7d50eac893c414 |
completed | April 20, 2026, 5:31 p.m. |
| PD | Predicate disambiguation | batch_69e54ce752748190a0a1ffddd0372271 |
completed | April 19, 2026, 9:45 p.m. |
| PDg | Predicate description generation | batch_69e54fc20888819083c9118a09d0d2dc |
completed | April 19, 2026, 9:57 p.m. |
Created at: April 11, 2026, 3:36 p.m.