Triple
T27546665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Altobelli |
E695379
|
entity |
| Predicate | sportNumberOfTitles |
P25122
|
FINISHED |
| Object | multiple California state baseball titles |
—
|
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: multiple California state baseball titles | Statement: [John Altobelli, sportNumberOfTitles, multiple California state baseball titles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sportNumberOfTitles Context triple: [John Altobelli, sportNumberOfTitles, multiple California state baseball titles]
-
A.
sportingTitle
Indicates that one entity holds or is identified by a specific sports-related rank, honor, or championship title in relation to another entity.
-
B.
numberOfLeagueTitles
Indicates the total count of league championship titles that an entity has won.
-
C.
mastersTitles
Indicates that one entity holds one or more master's degree titles associated with another entity (such as an institution, field, or program).
-
D.
winnerTitleCount
chosen
Indicates the number of titles or championships an entity has won.
-
E.
worldTitles
Indicates that an entity has won one or more world championship titles in a given field or competition.
- 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_69ef5386c3e08190bfe33aa326e1f72b |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f65a6c900881908f18b61273d7bf8d |
completed | May 2, 2026, 8:11 p.m. |
| PD | Predicate disambiguation | batch_69f659ce58408190ba9e007b4810d4d0 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 27, 2026, 1:33 p.m.