Triple
T1121049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marián Hossa |
E24610
|
entity |
| Predicate | reasonForCareerEnd |
P11350
|
FINISHED |
| Object | allergic skin condition related to equipment |
—
|
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: allergic skin condition related to equipment | Statement: [Marián Hossa, reasonForCareerEnd, allergic skin condition related to equipment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForCareerEnd Context triple: [Marián Hossa, reasonForCareerEnd, allergic skin condition related to equipment]
-
A.
reasonForLeaving
Indicates the cause, motivation, or circumstance that led an entity to depart or discontinue an association, position, or place.
-
B.
reasonForEndOfTerm
Indicates the specific cause or circumstance that led to the termination or conclusion of a term, position, or period of service.
-
C.
reasonForDiscontinuation
chosen
Indicates that one entity specifies the cause or justification for stopping, ending, or withdrawing another entity, process, or activity.
-
D.
reasonForWork
Indicates that one entity specifies the motivation, cause, or purpose behind another entity’s work or activity.
-
E.
hadOccupationStatusUntil
Indicates that an entity held a particular occupational status up to, but not necessarily beyond, a specified point in time.
- 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_69a4940712c88190aa244f3fc6070a65 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bc4bc21881909dcfe628f59f3e8c |
completed | March 1, 2026, 10:23 p.m. |
| PD | Predicate disambiguation | batch_69a4bb4562f48190831e959f5f309956 |
completed | March 1, 2026, 10:18 p.m. |
Created at: March 1, 2026, 7:43 p.m.