Triple
T17036741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ken Angrok |
E413339
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Ken Dedes |
E413340
|
NE 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: Ken Dedes | Statement: [Ken Angrok, spouse, Ken Dedes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ken Dedes Context triple: [Ken Angrok, spouse, Ken Dedes]
-
A.
Ken Dedes
chosen
Ken Dedes is a legendary Javanese queen regarded as the first queen of the Singhasari kingdom and a central figure in Indonesian historical and mythological narratives.
-
B.
Andrew Vassiliadis
Andrew Vassiliadis is an American businessman and sports executive best known for owning and leading the USL Championship soccer club San Diego Loyal SC.
-
C.
Frank Klopas
Frank Klopas is a Greek-American former professional soccer player and coach best known for his long-standing association with the Chicago Fire as both a player and manager.
-
D.
John Kapelos
John Kapelos is a Canadian character actor best known for his roles in films like The Breakfast Club and numerous television series.
-
E.
Michael Trikilis
Michael Trikilis was an American television and film producer best known for his work on Playboy-related projects and various feature films in the late 20th century.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d886cd18288190b006abab23f811b7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d8f26f50819085dfd0fbecd6394d |
completed | April 18, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a011b5b71f48190b6c865d57668b5d1 |
completed | May 10, 2026, 11:57 p.m. |
Created at: April 10, 2026, 5:33 a.m.