Triple
T19652021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phra Lak |
E471837
|
entity |
| Predicate | hasRelative |
P367
|
FINISHED |
| Object | Nang Sida |
—
|
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: Nang Sida | Statement: [Phra Lak, hasRelative, Nang Sida]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nang Sida Context triple: [Phra Lak, hasRelative, Nang Sida]
-
A.
Nang Sida
chosen
Nang Sida is the Thai Ramakien adaptation of Sita, the virtuous heroine and wife of the hero Phra Ram, based on the Hindu epic Ramayana.
-
B.
Narai
Narai is a well-preserved post town in Japan’s Kiso Valley, historically serving travelers along the Nakasendō route between Kyoto and Edo.
-
C.
Nai Yaem
Nai Yaem is an actor known for his role in the early Thai film "Chang: A Drama of the Wilderness."
-
D.
Khun-Anup
Khun-Anup is the eloquent peasant of ancient Egyptian literature whose articulate pleas for justice make him a classic symbol of moral and legal righteousness.
-
E.
Bun Bang Fai
Bun Bang Fai is a traditional Lao and Isan rocket festival that features homemade rocket launches, music, dance, and merit-making rituals to encourage rainfall before the rice-planting season.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e51395348190ac1416d46dfc6db0 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e64141f61c819098fe148581fb1747 |
completed | April 20, 2026, 3:07 p.m. |
Created at: April 10, 2026, 1:44 p.m.