Triple
T1590386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bradley Wright-Phillips |
E34164
|
entity |
| Predicate | clubNumber |
P2651
|
FINISHED |
| Object | 99 at New York Red Bulls |
—
|
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: 99 at New York Red Bulls | Statement: [Bradley Wright-Phillips, clubNumber, 99 at New York Red Bulls]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clubNumber Context triple: [Bradley Wright-Phillips, clubNumber, 99 at New York Red Bulls]
-
A.
teamNumber
Indicates the specific numeric identifier assigned to a team within a larger group or system.
-
B.
club
Indicates that an entity is a member of, affiliated with, or participates in the activities of a particular club or organized group.
-
C.
memberTeam
Indicates that an entity belongs to or is part of a specific team.
-
D.
clubFullName
Indicates the complete official name of a club as opposed to an abbreviation or short form.
-
E.
jerseyNumber
chosen
Indicates the specific uniform number assigned to and worn by an individual, typically in a sports context.
- 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_69a885fceb2c8190b47e0f7c0aefbff0 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a93aedd45c819085843ac843d640e8 |
completed | March 5, 2026, 8:12 a.m. |
| PD | Predicate disambiguation | batch_69a907bdc19081908c84c5c0aa09e282 |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:27 p.m.