Triple
T18954518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 99 Cent |
E463735
|
entity |
| Predicate | hasTitle |
P38
|
FINISHED |
| Object | 99 Cent |
—
|
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: 99 Cent | Statement: [99 Cent, hasTitle, 99 Cent]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 99 Cent Context triple: [99 Cent, hasTitle, 99 Cent]
-
A.
99 Cent
chosen
99 Cent is a large-scale color photograph by Andreas Gursky depicting the interior of a brightly lit discount supermarket, renowned for its intricate detail and commentary on consumer culture.
-
B.
99 and ½
"99 and ½" is a gospel-infused protest song performed by Mavis Staples on her civil rights–themed album "We'll Never Turn Back."
-
C.
Centho
Centho is a cognomen (family surname) used by members of the ancient Roman Claudian gens.
-
D.
99s
99s is a nickname for The Ninety-Nines, an international organization of women pilots founded in 1929 to support and promote women in aviation.
-
E.
One-Nine-Nine-Nine
One-Nine-Nine-Nine is a song that follows "All Night Long" in a musical track sequence, likely as part of the same album or release.
- 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_69d8dcffc278819086792a4ebfddfafa |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d545f47881909110e6a92e86b384 |
completed | April 20, 2026, 7:27 a.m. |
Created at: April 10, 2026, noon