Triple
T1246736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Happy Chandler |
E26782
|
entity |
| Predicate | startTimeAsCommissionerOfMLB |
P25741
|
FINISHED |
| Object | 1945 |
—
|
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: 1945 | Statement: [Happy Chandler, startTimeAsCommissionerOfMLB, 1945]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTimeAsCommissionerOfMLB Context triple: [Happy Chandler, startTimeAsCommissionerOfMLB, 1945]
-
A.
brokeIntoMajorsAs
Indicates that an individual first entered or debuted in a major-level context (such as a top professional league or tier) in a specified role, position, or capacity.
-
B.
MLBManagerDebutYear
Indicates the year in which a person first debuted as a manager in Major League Baseball.
-
C.
bostonRedSoxTenureStart
Indicates the point in time when an entity’s tenure with the Boston Red Sox begins.
-
D.
startTimeAsNFLReferee
Indicates the point in time when an individual began serving in the role of an NFL referee.
-
E.
MLBDebutDate
Indicates the date on which an individual first appeared in a Major League Baseball game.
- 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_69a4948689d08190b3a4a3f388c02148 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bf6750a48190b86e9248ed54d90a |
completed | March 1, 2026, 10:36 p.m. |
| PD | Predicate disambiguation | batch_69a4bb6b075881908e867c25b5080e25 |
completed | March 1, 2026, 10:19 p.m. |
| PDg | Predicate description generation | batch_69a4bc49693c8190978ec63a5171d342 |
completed | March 1, 2026, 10:23 p.m. |
Created at: March 1, 2026, 7:47 p.m.