Triple
T17320898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leo Durocher |
E420555
|
entity |
| Predicate | ejectionRecord |
P126970
|
FINISHED |
| Object | high number of ejections as manager |
—
|
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: high number of ejections as manager | Statement: [Leo Durocher, ejectionRecord, high number of ejections as manager]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ejectionRecord Context triple: [Leo Durocher, ejectionRecord, high number of ejections as manager]
-
A.
hasEjecta
Indicates that one entity produces or is associated with material expelled or thrown out from another entity as a result of an energetic event or process.
-
B.
canEject
Indicates that one entity has the ability or permission to forcibly remove or expel another entity from a place, system, or context.
-
C.
typicalEjectedMass
Indicates the characteristic amount of mass that is usually expelled from a system or object during an ejection event.
-
D.
involvesParticleEjection
Indicates that the action or process includes the emission or release of particles from a source.
-
E.
hasEjectionSeat
Indicates that an object (typically a vehicle or cockpit) is equipped with an ejection seat that allows an occupant to be forcibly expelled for emergency escape.
- F. None of above. chosen
Provenance (4 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_69d889d22b848190a4663d0b8f8f76e7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e439cf5394819089bff5f8dc2e8241 |
completed | April 19, 2026, 2:11 a.m. |
| PD | Predicate disambiguation | batch_69e3b01b9d1c8190a406dd941c9b11a1 |
completed | April 18, 2026, 4:23 p.m. |
| PDg | Predicate description generation | batch_69e3b2a225b08190a50f984caa6513b9 |
completed | April 18, 2026, 4:34 p.m. |
Created at: April 10, 2026, 5:43 a.m.