Triple
T3027487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michail Stasinopoulos |
E82812
|
entity |
| Predicate | officeLeftOn |
P44724
|
FINISHED |
| Object | 1975-07-19 |
—
|
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: 1975-07-19 | Statement: [Michail Stasinopoulos, officeLeftOn, 1975-07-19]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeLeftOn Context triple: [Michail Stasinopoulos, officeLeftOn, 1975-07-19]
-
A.
officeStart
Indicates the time or date at which an entity’s term, role, or period of holding office begins.
-
B.
officeStartAfter
Indicates that one entity’s term or period in office begins after another specified time or event.
-
C.
inOfficeDuring
Indicates that an entity holds or occupies an office or position throughout a specified time period.
-
D.
officeContingentOn
Indicates that holding or obtaining one office, position, or role is dependent on the prior existence, status, or outcome of another specified office or condition.
-
E.
officeIsIn
Indicates that one office is located within or inside another specified place or building.
- 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_69ad8b21a62881908ec5dd4fba4a187c |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9abea8f4819090554d7319778170 |
completed | March 8, 2026, 3:50 p.m. |
| PD | Predicate disambiguation | batch_69ad961c430c8190ac48f2e3c7e7c649 |
completed | March 8, 2026, 3:30 p.m. |
| PDg | Predicate description generation | batch_69ad97f6af3881909f4547967384114c |
completed | March 8, 2026, 3:38 p.m. |
Created at: March 8, 2026, 3 p.m.