Triple
T21679675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Such Pretty Forks in the Road |
E535065
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Smiling |
—
|
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: Smiling | Statement: [Such Pretty Forks in the Road, hasTrack, Smiling]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Smiling Context triple: [Such Pretty Forks in the Road, hasTrack, Smiling]
-
A.
Smiling
chosen
"Smiling" is a song by the influential American ska punk band Operation Ivy, known for its energetic style and socially conscious lyrics.
-
B.
Smiles
Smiles is a Brazilian frequent-flyer and loyalty program that allows members to earn and redeem miles across flights, partner airlines, and various retail and service partners.
-
C.
Smiles
Smiles is a 1930 musical comedy film featuring songs by composer Vincent Youmans.
-
D.
Smiley Smile
Smiley Smile is a 1967 studio album by the Beach Boys, noted for its minimalist, lo-fi reworking of material from the abandoned Smile project.
-
E.
Laughing
"Laughing" is a folk-rock song by Crosby, Stills, Nash & Young, featured on their 1971 live album *4 Way Street*.
- 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_69e0c469b6ec8190aee4cadd1527db91 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef8a11ce548190aaff404aed6a76cd |
completed | April 27, 2026, 4:08 p.m. |
Created at: April 16, 2026, 6:43 p.m.