Triple
T1394446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Rolfe |
E30632
|
entity |
| Predicate | roleAfterPlaying |
P24180
|
FINISHED |
| Object | college baseball coach |
—
|
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: college baseball coach | Statement: [Red Rolfe, roleAfterPlaying, college baseball coach]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleAfterPlaying Context triple: [Red Rolfe, roleAfterPlaying, college baseball coach]
-
A.
postPlayingRole
chosen
Indicates that an entity assumes or holds a particular role after a playing or performance event has taken place.
-
B.
roleAfterRetirement
Indicates the position, function, or status an entity assumes after it has retired from its previous role or activity.
-
C.
role
Indicates the function, position, or responsibility that one entity holds in relation to another within a given context.
-
D.
plannedRole
Indicates that an entity is expected or intended to assume a particular role or function in a planned or future context.
-
E.
successorStateRole
Indicates that one role represents the state or position that directly follows and replaces another role in a sequence or process.
- 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_69a498fd4e408190bd73eca30ea9754c |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c37e60388190a8efcb345be7a1b9 |
completed | March 1, 2026, 10:53 p.m. |
| PD | Predicate disambiguation | batch_69a4bf017f8081908572121560ec621f |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:59 p.m.