Triple
T2329472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ted Barrett |
E48367
|
entity |
| Predicate | startTimeOfMLBCareer |
P26144
|
FINISHED |
| Object | 1994 |
—
|
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: 1994 | Statement: [Ted Barrett, startTimeOfMLBCareer, 1994]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTimeOfMLBCareer Context triple: [Ted Barrett, startTimeOfMLBCareer, 1994]
-
A.
spentEntireMLBCareerWith
Indicates that a player spent their entire Major League Baseball career with a single team.
-
B.
brokeIntoMLBAtAge
Indicates the age at which an individual first entered and began playing in Major League Baseball.
-
C.
startTimeAsCommissionerOfMLB
Indicates the date and time when an individual began serving as the Commissioner of Major League Baseball.
-
D.
startTimeOfNFLOfficiatingCareer
Indicates the point in time when an individual's NFL officiating career began.
-
E.
firstYearPlayed
chosen
Indicates the year in which an entity (such as a person or team) first began participating in the specified activity or domain.
- 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_69a88aa308a88190b0b86c011fda7fce |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abcc30c5e881908c5d526d7e7491d0 |
completed | March 7, 2026, 6:56 a.m. |
| PD | Predicate disambiguation | batch_69abc5926d048190a535e3f23d41de2a |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:50 p.m.