Triple
T21551910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sonia Bompastor |
E531781
|
entity |
| Predicate | isRetiredAsPlayer |
P144207
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Sonia Bompastor, isRetiredAsPlayer, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isRetiredAsPlayer Context triple: [Sonia Bompastor, isRetiredAsPlayer, true]
-
A.
retiredAsPlayerFrom
Indicates that an individual ended their professional playing career while being associated with a specific team, organization, or context.
-
B.
retirementYearAsPlayer
Indicates the year in which an individual ended their career as an active player.
-
C.
hasRetiredPlayersFrom
Indicates that an entity has players who previously played for it and have since retired, originating from the specified source entity (e.g., team, league, or country).
-
D.
nflRetirementStatus
Indicates the retirement state of an NFL player, such as whether they are currently active, retired, or in another defined career status.
-
E.
retiredFromSidelines
Indicates that an entity has ended its role or involvement from a previously inactive, observing, or non-participatory position in a given context.
- 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_69e0c460232c81908de2c3819d17c00e |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eeb59375f481909d9e2b66d18c7c32 |
completed | April 27, 2026, 1:02 a.m. |
| PD | Predicate disambiguation | batch_69e6320766308190ba5dca2f7c826aa4 |
completed | April 20, 2026, 2:02 p.m. |
| PDg | Predicate description generation | batch_69e633bf34c481909925d8dc1a633a65 |
completed | April 20, 2026, 2:10 p.m. |
Created at: April 16, 2026, 6:29 p.m.