Triple
T182925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Commissioner of Baseball |
E3915
|
entity |
| Predicate | incumbentStart |
P1814
|
FINISHED |
| Object | 2015 |
—
|
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: 2015 | Statement: [Commissioner of Baseball, incumbentStart, 2015]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: incumbentStart Context triple: [Commissioner of Baseball, incumbentStart, 2015]
-
A.
hasIncumbentPresidentCandidate
Indicates that a political entity (such as a party, election, or race) has a current office-holding president running as a candidate in that contest.
-
B.
officeHolderStartTime
chosen
Indicates the date and time at which an individual begins holding a particular office or position.
-
C.
inaugurated
Indicates that a person is formally introduced or installed into an official position, office, or role through a ceremonial event.
-
D.
inaugurationYear
Indicates the calendar year in which an entity was formally inaugurated or officially brought into operation.
-
E.
firstInOfficeTo
Indicates that one entity was the earliest or first to hold a particular office or position in relation to another entity or 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_69a25497e2f08190a040f8c6e1842643 |
completed | Feb. 28, 2026, 2:36 a.m. |
| NER | Named-entity recognition | batch_69a2592516748190a85ae58eec191f14 |
completed | Feb. 28, 2026, 2:55 a.m. |
| PD | Predicate disambiguation | batch_69a2566dfc388190988b1b42d5daaafe |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:40 a.m.