Triple
T10465780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Art of Doing Nothing |
E246789
|
entity |
| Predicate | hasSingle |
P3282
|
FINISHED |
| Object | Stars |
E108279
|
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: Stars | Statement: [The Art of Doing Nothing, hasSingle, Stars]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stars Context triple: [The Art of Doing Nothing, hasSingle, Stars]
-
A.
Stars
chosen
Stars is a common team name used by various sports franchises, notably including the former American Basketball Association team the Utah Stars.
-
B.
Star
Star was an automobile marque produced by Durant Motors in the 1920s as a lower-priced competitor to brands like Ford and Chevrolet.
-
C.
Star
"Star" is a musical drama television series created by Lee Daniels and Tom Donaghy that follows three talented young singers navigating the challenges of the music industry in Atlanta.
-
D.
Star
Star is the surname of American television producer, director, and writer Darren Star, best known for creating hit series such as "Sex and the City" and "Beverly Hills, 90210."
-
E.
Star
"Star" is a song featured on the album *The Tipping Point* by the British band Tears for Fears.
- 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5092d6d408190b6bda4d7ced4601e |
completed | April 7, 2026, 1:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d89fe6129881908c658ff977e68135 |
completed | April 10, 2026, 6:59 a.m. |
Created at: April 6, 2026, 12:19 p.m.