Triple
T1192690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bob Bradley |
E25396
|
entity |
| Predicate | Michael Bradley |
P26209
|
FINISHED |
| Object | instanceOf: professional soccer player |
—
|
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: professional soccer player | Statement: [Bob Bradley, Michael Bradley, instanceOf: professional soccer player]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Michael Bradley Context triple: [Bob Bradley, Michael Bradley, instanceOf: professional soccer player]
-
A.
notableTeammate
Indicates that one entity has a teammate relationship with another entity who is particularly prominent, distinguished, or noteworthy.
-
B.
awayTeamCaptain
Indicates that one entity serves as the captain or designated leader of the away (visiting) team in a competition or match.
-
C.
RavensQuarterback
Indicates that the subject is a quarterback who plays for the Baltimore Ravens football team.
-
D.
coachOf
Indicates that one entity serves as the coach (trainer or manager) of another entity, typically a person or team.
-
E.
quarterbackOfBills
Indicates that one entity serves as the quarterback for the Buffalo Bills football 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_69a49427d98881908646d6c63b8cea1e |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd761ef08190b431b80f326d1ab2 |
completed | March 1, 2026, 10:28 p.m. |
| PD | Predicate disambiguation | batch_69a4bb5bacc481909e8dfd5215e4711a |
completed | March 1, 2026, 10:19 p.m. |
| PDg | Predicate description generation | batch_69a4bd0ab5f88190bb583fc63b4cc150 |
completed | March 1, 2026, 10:26 p.m. |
Created at: March 1, 2026, 7:45 p.m.