Triple
T11175852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marta |
E264408
|
entity |
| Predicate | UNWomenGoodwillAmbassador |
P98264
|
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: [Marta, UNWomenGoodwillAmbassador, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: UNWomenGoodwillAmbassador Context triple: [Marta, UNWomenGoodwillAmbassador, true]
-
A.
endTime (Executive Director of UN Women)
Indicates the point in time when a person’s role as Executive Director of UN Women concludes.
-
B.
UNODCGoodwillAmbassadorStart
Indicates the point in time when an individual officially begins serving as a UNODC Goodwill Ambassador.
-
C.
notableHumanRightsOrganization
Indicates that an entity is recognized as a significant organization actively involved in the promotion, protection, or advocacy of human rights.
-
D.
notableFemaleMember
Indicates that an entity has a female member who is particularly prominent, distinguished, or noteworthy within that entity.
-
E.
hasFemaleLeader
Indicates that the subject entity is led or governed by a woman in a primary leadership role.
- 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_69d6aa9dafac8190bd90d2c74f661aa7 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8987e1081909b28a0bdb866beae |
completed | April 9, 2026, 5:57 p.m. |
| PD | Predicate disambiguation | batch_69d75cf0e6e88190973694abe2990973 |
completed | April 9, 2026, 8:01 a.m. |
| PDg | Predicate description generation | batch_69d7706116248190a87440bec3960884 |
completed | April 9, 2026, 9:24 a.m. |
Created at: April 8, 2026, 9:29 p.m.