Triple
T18348319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Smiley v. Holm |
E439599
|
entity |
| Predicate | hasPlaintiff |
P15074
|
FINISHED |
| Object | Smiley |
—
|
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: Smiley | Statement: [Smiley v. Holm, hasPlaintiff, Smiley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Smiley Context triple: [Smiley v. Holm, hasPlaintiff, Smiley]
-
A.
Smiley
chosen
Smiley is a surname most notably associated with American novelist Jane Smiley, known for her Pulitzer Prize–winning work.
-
B.
Smiley
Smiley was the stage name of Smiley Burnette, an American country music performer, songwriter, and comedic actor best known for his sidekick roles in Western films and early television.
-
C.
Smiley
Smiley is a Canadian rapper known for his distinctive vocal style and for being one of the artists signed to Drake’s OVO Sound label.
-
D.
Smiley Face
Smiley Face is a 2007 stoner comedy film starring Anna Faris as an out-of-work actress who embarks on a chaotic, marijuana-fueled day in Los Angeles.
-
E.
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.
- 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_69d8b9175fec8190af865699b4e64d8c |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e514f66a4c8190a0ba53d3b349178a |
completed | April 19, 2026, 5:46 p.m. |
Created at: April 10, 2026, 10:37 a.m.