Triple
T37080708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | José Bautista |
E918136
|
entity |
| Predicate | notableTeamNumber |
P74174
|
FINISHED |
| Object | 19 (Toronto Blue Jays) |
—
|
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: 19 (Toronto Blue Jays) | Statement: [José Bautista, notableTeamNumber, 19 (Toronto Blue Jays)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableTeamNumber Context triple: [José Bautista, notableTeamNumber, 19 (Toronto Blue Jays)]
-
A.
teamNumber
Indicates the specific numeric identifier assigned to a team within a larger group or system.
-
B.
collegeTeamNumber
Indicates the identifying number assigned to a college sports team.
-
C.
teamNumberContext
chosen
Indicates that a specific team number is associated with or interpreted within a particular contextual setting or scope.
-
D.
teamNumberType
Indicates the type or category assigned to a team’s identifying number within a given system or context.
-
E.
notableTeams
Indicates that there is a noteworthy association between an entity and one or more teams with which it is significantly connected or recognized.
- 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_69f76e9952b88190a6fe01ba01476520 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a10036481909c71188b2a0e7f04 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:14 p.m.