Triple
T7595066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hot Fuzz |
E179837
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Nicholas Angel |
E497984
|
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: Nicholas Angel | Statement: [Hot Fuzz, mainCharacter, Nicholas Angel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nicholas Angel Context triple: [Hot Fuzz, mainCharacter, Nicholas Angel]
-
A.
Nicholas Angel
chosen
Nicholas Angel is the hyper-competent, by-the-book London police officer who becomes the central protagonist of the action-comedy film "Hot Fuzz."
-
B.
Nicholas Gage
Nicholas Gage is a Greek-American author and former investigative journalist best known for his memoir "Eleni," which recounts his mother's execution during the Greek Civil War.
-
C.
Maxim Knight
Maxim Knight is an American actor best known for his role as Matt Mason on the science fiction television series "Falling Skies."
-
D.
Brady Hawkes
Brady Hawkes is the seasoned, cool-headed professional gambler protagonist of the TV film series "The Gambler," known for his skill at cards and calm demeanor in the Old West.
-
E.
Elias Pearce
Elias Pearce was the mountaineer credited with making the first recorded ascent of Mount Shasta in California.
- 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_69c69f3487ec8190bf7acdf2dd91e6d6 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f9bbcd8081909a229d7faa2ffdc8 |
completed | March 27, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c86843a7808190a4c1d3c33a7441ed |
completed | March 28, 2026, 11:46 p.m. |
Created at: March 27, 2026, 3:53 p.m.