Triple
T22842564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phat Kat |
E566119
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Carte Blanche |
—
|
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: Carte Blanche | Statement: [Phat Kat, notableWork, Carte Blanche]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carte Blanche Context triple: [Phat Kat, notableWork, Carte Blanche]
-
A.
Carte Blanche
Carte Blanche is a James Bond continuation novel by Jeffery Deaver that reboots the iconic spy into a modern-day setting.
-
B.
Carte Blanche
chosen
Carte Blanche is a 2019 studio album by French DJ and producer DJ Snake that blends EDM, hip hop, and Latin influences and features numerous high-profile collaborations.
-
C.
Audience of One
"Audience of One" is a song by the American punk rock band Rise Against, featured on their album "Appeal to Reason."
-
D.
The Thrill
"The Thrill" is a soulful R&B track by Miguel from his album "Kaleidoscope Dream," known for its atmospheric production and introspective lyrics.
-
E.
The Blonde
The Blonde is a character typically portrayed as an attractive, enigmatic woman whose appearance and demeanor often play into themes of allure and mystery.
- 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_69e245869e188190a196584f36e682da |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17e866080819091adfb41cd2a4e13 |
completed | April 29, 2026, 3:44 a.m. |
Created at: April 17, 2026, 3:36 p.m.