Triple
T23625359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jennie Finch |
E583446
|
entity |
| Predicate | workAfterRetirement |
P10023
|
FINISHED |
| Object | softball instructor |
—
|
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: softball instructor | Statement: [Jennie Finch, workAfterRetirement, softball instructor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workAfterRetirement Context triple: [Jennie Finch, workAfterRetirement, softball instructor]
-
A.
spentLaterLifeAt
Indicates that an individual resided, worked, or was primarily based at a particular place during the later period of their life.
-
B.
roleAfterRetirement
chosen
Indicates the position, function, or status an entity assumes after it has retired from its previous role or activity.
-
C.
workAfter
Indicates that one entity performs its work or begins an activity only after another specified entity has completed or started its own work.
-
D.
retiredToPursue
Indicates that an entity voluntarily left a position, role, or career in order to actively follow or focus on another specific activity, goal, or interest.
-
E.
retired
Indicates that an entity has permanently stopped working in their former occupation or role, typically after reaching a certain age or service duration.
- 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_69e248fc8d74819091bd5baef2f36f6f |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b17c993c8190bf9ee3201869d240 |
completed | April 29, 2026, 7:21 a.m. |
| PD | Predicate disambiguation | batch_69f118d0e0588190a86527a7747c5427 |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:46 p.m.