Triple
T25207007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kumar Dharmasena |
E631279
|
entity |
| Predicate | appointedToElitePanelYear |
P21538
|
FINISHED |
| Object | 2011 |
—
|
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: 2011 | Statement: [Kumar Dharmasena, appointedToElitePanelYear, 2011]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appointedToElitePanelYear Context triple: [Kumar Dharmasena, appointedToElitePanelYear, 2011]
-
A.
UNAppointmentYear
Indicates the year in which an entity was appointed to a position within the United Nations.
-
B.
hallOfFameEligibilityYear
Indicates the specific year in which an entity becomes eligible for induction into a hall of fame.
-
C.
candidacyYear
Indicates the specific year in which an entity is a candidate for a position, office, award, or similar selection process.
-
D.
qualificationChangeYear
Indicates the year in which an entity’s qualification or certified status was changed or updated.
-
E.
selectionYear
chosen
Indicates the year in which an entity was chosen or selected for a particular role, status, or inclusion.
- 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_69e75a8b86c4819089eda22c843b739f |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f5f6baf2d48190a6a4cd6501be87d2 |
completed | May 2, 2026, 1:06 p.m. |
| PD | Predicate disambiguation | batch_69f5afd5baac8190bb8ed576813c8591 |
completed | May 2, 2026, 8:03 a.m. |
Created at: April 21, 2026, 12:52 p.m.