Triple
T15536695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phiangphathu Khumueang |
E370364
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Phiangphathu |
E370364
|
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: Phiangphathu | Statement: [Phiangphathu Khumueang, givenName, Phiangphathu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Phiangphathu Context triple: [Phiangphathu Khumueang, givenName, Phiangphathu]
-
A.
Suphannaphum
Suphannaphum is the historical name of the region now known as Suphan Buri Province in central Thailand, an area with deep cultural and political significance in Thai history.
-
B.
Khumueang
Khumueang is a Thai surname associated with individuals such as Phiangphathu Khumueang.
-
C.
Chaiyasongkhram
Chaiyasongkhram was a monarch who succeeded King Mangrai in ruling the Lanna Kingdom in what is now northern Thailand.
-
D.
Wat Sao Thong Thong
Wat Sao Thong Thong is a historic Buddhist temple in Lopburi, Thailand, known for its traditional architecture and religious significance.
-
E.
Phiangphathu Khumueang
chosen
Phiangphathu Khumueang is best known as the wife of Argentine tennis legend Guillermo Vilas.
- 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_69d85cc521a08190921fb50319dddc34 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e0442f3c688190a599165e526af2ed |
completed | April 16, 2026, 2:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff4556ad008190a411ccd3ef0d1e89 |
completed | May 9, 2026, 2:31 p.m. |
Created at: April 10, 2026, 4:06 a.m.