Triple
T25457777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harry Agganis |
E637958
|
entity |
| Predicate | choseCareerIn |
P24248
|
FINISHED |
| Object | professional baseball |
—
|
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: professional baseball | Statement: [Harry Agganis, choseCareerIn, professional baseball]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: choseCareerIn Context triple: [Harry Agganis, choseCareerIn, professional baseball]
-
A.
targetCareer
Indicates that one entity is the intended or pursued career or professional goal of another entity.
-
B.
placeInCareer
Indicates the specific role, position, or stage an entity occupies within a person’s professional career.
-
C.
careerField
chosen
Indicates the professional domain or occupational area in which an entity works or specializes.
-
D.
settingOfCareer
Indicates the primary environment, context, or domain in which a person’s career takes place or is situated.
-
E.
studCareerStart
Indicates the point in time when a student's professional or academic career begins.
- 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_69e75db8bab08190baca80b4a8c315fd |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f72884408190b586de6cd827e1d4 |
completed | May 2, 2026, 1:07 p.m. |
| PD | Predicate disambiguation | batch_69f4683b34748190818428489a226124 |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 21, 2026, 2:10 p.m.