Triple
T24276002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | First Lady of Indonesia |
E605412
|
entity |
| Predicate | inauguralHolderSpouseOf |
P155632
|
FINISHED |
| Object | Sukarno |
—
|
NE NERFINISHED |
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: Sukarno | Statement: [First Lady of Indonesia, inauguralHolderSpouseOf, Sukarno]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inauguralHolderSpouseOf Context triple: [First Lady of Indonesia, inauguralHolderSpouseOf, Sukarno]
-
A.
marriedToVicePresident
Indicates that one person is legally married to an individual who holds the office or role of vice president.
-
B.
inauguralHolder
Indicates that the subject is the first person or entity to hold a particular position, title, office, or role.
-
C.
marriedToUSPresident
Indicates being legally married to an individual who holds or has held the office of President of the United States.
-
D.
inauguratedBy
Indicates that an official event, institution, or position was formally opened, initiated, or brought into operation by a specific person or authority.
-
E.
inauguralWinnerOf
Indicates that one entity is the first-ever winner of a particular event, award, or competition.
- 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_69e2954707dc8190915551eb114cfff6 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f28d5eb3108190bbcd9fe1c091c365 |
completed | April 29, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69f1c457a2908190993824395b3c365d |
completed | April 29, 2026, 8:41 a.m. |
| PDg | Predicate description generation | batch_69f27a753ca8819095706970d368f762 |
completed | April 29, 2026, 9:39 p.m. |
Created at: April 18, 2026, 12:07 a.m.