Triple
T3546696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michelle Bachelet |
E75012
|
entity |
| Predicate | endTime (Executive Director of UN Women) |
P48816
|
FINISHED |
| Object | 2013-03-10 |
—
|
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: 2013-03-10 | Statement: [Michelle Bachelet, endTime (Executive Director of UN Women), 2013-03-10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endTime (Executive Director of UN Women) Context triple: [Michelle Bachelet, endTime (Executive Director of UN Women), 2013-03-10]
-
A.
hasUNRegionalRole
Indicates that an entity holds a specific official function, capacity, or responsibility within a United Nations regional body or framework.
-
B.
officeHolderTitleWhenFemale
Indicates the specific title used for a person holding an office when that office holder is female.
-
C.
UNSecretaryGeneralTermEnd
Indicates the date on which a person's tenure as Secretary-General of the United Nations officially ends.
-
D.
endTime (NSA directorship)
Indicates the point in time at which an individual's tenure in the NSA directorship role concludes.
-
E.
hasInternationalOrganizationRole
Indicates that an entity holds or has held a specific role, position, or function within an international organization.
- 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_69ad85d33c6c819081d5ac1df13b5680 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbfcf64488190af8452308734028c |
completed | March 8, 2026, 6:28 p.m. |
| PD | Predicate disambiguation | batch_69adae15749881909b847c6ca73c934e |
completed | March 8, 2026, 5:12 p.m. |
| PDg | Predicate description generation | batch_69adb0a11a1c8190baa8c0eb87ad259a |
completed | March 8, 2026, 5:23 p.m. |
Created at: March 8, 2026, 3:20 p.m.