Triple
T32934019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seri Setia Mahkota |
E842477
|
entity |
| Predicate | entitlesSpouseToStyle |
P17687
|
FINISHED |
| Object | Toh Puan |
—
|
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: Toh Puan | Statement: [Seri Setia Mahkota, entitlesSpouseToStyle, Toh Puan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: entitlesSpouseToStyle Context triple: [Seri Setia Mahkota, entitlesSpouseToStyle, Toh Puan]
-
A.
hasSpouseStyle
Indicates a relationship where one entity’s manner, appearance, or behavior resembles or is characteristic of another entity’s spouse.
-
B.
spouseStyle
Indicates a stylistic or fashion-related relationship or influence that exists between spouses.
-
C.
spouseNobilityStatus
Indicates that the predicate specifies the nobility rank or noble status held by a person’s spouse.
-
D.
hasSpouseTitle
chosen
Indicates that a person’s spouse holds a particular title or honorific designation.
-
E.
isSpouseOfTitle
Indicates that one entity holds a spousal relationship specifically associated with a titled or honorific status of another entity.
- 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_69f34948adfc8190a937f1f622783c0b |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d108f2008190be705c3372b95fe5 |
completed | May 3, 2026, 4:37 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe5f93c8190995c53dbbe380a32 |
completed | May 3, 2026, 4:32 a.m. |
Created at: May 1, 2026, 1:20 a.m.