Triple
T11095296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thai Smile |
E262361
|
entity |
| Predicate | callsign |
P1565
|
FINISHED |
| Object | THAI SMILE |
E262361
|
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: THAI SMILE | Statement: [Thai Smile, callsign, THAI SMILE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: THAI SMILE Context triple: [Thai Smile, callsign, THAI SMILE]
-
A.
Thai Smile (defunct)
chosen
Thai Smile was a now-defunct regional full-service airline brand that operated as a subsidiary of Thai Airways, offering short- and medium-haul flights primarily within Thailand and nearby Asian destinations.
-
B.
Smilez
Smilez is a musical artist known for collaborating on the track "TattleTales."
-
C.
Smile Please
"Smile Please" is a song from Stevie Wonder’s acclaimed 1974 soul and R&B album *Fulfillingness' First Finale*.
-
D.
Just Smile!
Just Smile! is the cheerful marketing slogan used by Chiquita Brands International to promote its bananas and other produce.
-
E.
Special Smiles
Special Smiles is a Healthy Athletes program component that provides dental screenings, education, and referrals to improve oral health for Special Olympics athletes.
- 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_69d6aa9a40d88190a373e2c7e48285db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79a0897188190b6c293b44990b3d4 |
completed | April 9, 2026, 12:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3e7e0c7e4819098e690ffebbd8e61 |
completed | April 18, 2026, 8:21 p.m. |
Created at: April 8, 2026, 9:27 p.m.