Triple
T21560158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lord Tilbury |
E531993
|
entity |
| Predicate | appearsIn |
P795
|
FINISHED |
| Object | “Service with a Smile” |
—
|
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: “Service with a Smile” | Statement: [Lord Tilbury, appearsIn, “Service with a Smile”]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: “Service with a Smile” Context triple: [Lord Tilbury, appearsIn, “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.
Always Smile
Always Smile is a racehorse known as the progeny of the mare Eastern Joy, belonging to a successful Thoroughbred bloodline.
- 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_69e0c460232c81908de2c3819d17c00e |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eed2e2db2c81908b965312c50d4354 |
completed | April 27, 2026, 3:07 a.m. |
Created at: April 16, 2026, 6:29 p.m.