Triple
T5877159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniel Kaluuya |
E130653
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Nope |
E50439
|
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: Nope | Statement: [Daniel Kaluuya, notableWork, Nope]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nope Context triple: [Daniel Kaluuya, notableWork, Nope]
-
A.
Nope
chosen
Nope is a 2022 science fiction horror film written and directed by Jordan Peele that blends UFO mythology with social commentary and spectacle.
-
B.
The Nothing
"The Nothing" is a track by Kid Cudi from his experimental, grunge-influenced album *Speedin' Bullet 2 Heaven*.
-
C.
Stockach
Stockach is a small town in southern Germany’s Baden-Württemberg state, situated near Lake Constance and known historically as a regional administrative and market center.
-
D.
Mr. Nobody
Mr. Nobody is a covert government operative and ally to Dominic Toretto’s crew in the Fast & Furious film franchise.
-
E.
Mr. Nobody
Mr. Nobody is a 2009 science fiction drama film that explores alternate life paths and the nature of choice through the story of the last mortal man on Earth.
- 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_69c0085523688190bfd487479ce819e6 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03630eefc8190ad1aaa1919ecf97f |
completed | March 22, 2026, 6:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0b12861c081909f95f1ef6a1f457c |
completed | March 23, 2026, 3:19 a.m. |
Created at: March 22, 2026, 3:57 p.m.