Triple
T25459620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Merlene Ottey |
E638006
|
entity |
| Predicate | trainingBaseLaterCareer |
P19158
|
FINISHED |
| Object | Slovenia |
—
|
NE NERFINISHED |
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: Slovenia | Statement: [Merlene Ottey, trainingBaseLaterCareer, Slovenia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trainingBaseLaterCareer Context triple: [Merlene Ottey, trainingBaseLaterCareer, Slovenia]
-
A.
laterCareer
chosen
Indicates that the associated information or events pertain to a later stage or phase in an entity’s professional life or career trajectory.
-
B.
clubCareerStart
Indicates the point in time when an entity begins its professional or organized club-level career.
-
C.
trainingBase
Indicates that one entity serves as the training base, site, or facility where another entity receives training or instruction.
-
D.
careerOPS
Indicates a relationship where an entity’s career on-base plus slugging (OPS) statistic is recorded or associated with that entity.
-
E.
clubCareerEnd
Indicates the point in time or event at which an entity’s involvement in a club-level career comes to an end.
- 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_69f5f72a452c8190b53c90a8a725dd69 |
completed | May 2, 2026, 1:07 p.m. |
| PD | Predicate disambiguation | batch_69f49377411c8190b2188de444d76795 |
completed | May 1, 2026, 11:50 a.m. |
Created at: April 21, 2026, 2:11 p.m.