Triple
T5557035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Empress of Blandings |
E145668
|
entity |
| Predicate | appearsInWork |
P795
|
FINISHED |
| Object | “Service with a Smile” |
E145676
|
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: “Service with a Smile” | Statement: [The Empress of Blandings, appearsInWork, “Service with a Smile”]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: “Service with a Smile” Context triple: [The Empress of Blandings, appearsInWork, “Service with a Smile”]
-
A.
Service with a Smile
chosen
"Service with a Smile" is a comic novel by P. G. Wodehouse set at Blandings Castle, featuring Lord Emsworth and his eccentric circle in a farcical tale of romantic entanglements and stolen valuables.
-
B.
Just Smile!
Just Smile! is the cheerful marketing slogan used by Chiquita Brands International to promote its bananas and other produce.
-
C.
Smile Please
"Smile Please" is a song from Stevie Wonder’s acclaimed 1974 soul and R&B album *Fulfillingness' First Finale*.
-
D.
Smilin'
"Smilin'" is a song by Australian singer-songwriter Gideon, known for its upbeat tone and emotive, melodic pop style.
-
E.
Miles&Smiles
Miles&Smiles is Turkish Airlines’ frequent flyer loyalty program that rewards members with miles redeemable for flights, upgrades, and other travel benefits.
- 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_69c008fcaf788190bafa02a1917ee73b |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01ffe12cc81908186f28ace0f4d82 |
completed | March 22, 2026, 4:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0283ebcd081909c86ced90c44266f |
completed | March 22, 2026, 5:34 p.m. |
Created at: March 22, 2026, 3:36 p.m.