Triple
T22822857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kiko Loureiro |
E565272
|
entity |
| Predicate | leaveDate |
P149878
|
FINISHED |
| Object | 2023 |
—
|
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: 2023 | Statement: [Kiko Loureiro, leaveDate, 2023]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leaveDate Context triple: [Kiko Loureiro, leaveDate, 2023]
-
A.
leaveType
Indicates the type or category of leave associated with an absence or time-off event (e.g., vacation, sick leave, parental leave).
-
B.
resignationDateOfRespondent
Indicates the date on which the respondent formally resigned from their position or role.
-
C.
retirementDate
Indicates the date on which an entity stops its active role or service, typically marking the end of its professional or operational period.
-
D.
commutationDate
Indicates the date on which a sentence or penalty is formally reduced, altered, or commuted.
-
E.
dismissalDate
Indicates the date on which an entity (such as a person, case, or employment) is formally dismissed, terminated, or ended.
- 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_69e2458426188190b58b8ab4844fe420 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17dd2005081909baef070124eb839 |
completed | April 29, 2026, 3:41 a.m. |
| PD | Predicate disambiguation | batch_69eed2d117088190acbfe130d84f8627 |
completed | April 27, 2026, 3:06 a.m. |
| PDg | Predicate description generation | batch_69eeeb577e2081909f4a4e9c296535c0 |
completed | April 27, 2026, 4:51 a.m. |
Created at: April 17, 2026, 3:33 p.m.