Triple
T10354082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Film4 Productions |
E243952
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Sexy Beast |
E351724
|
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: Sexy Beast | Statement: [Film4 Productions, notableWork, Sexy Beast]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sexy Beast Context triple: [Film4 Productions, notableWork, Sexy Beast]
-
A.
Sexy Beast
chosen
Sexy Beast is a 2000 British crime film known for its stylish direction, dark humor, and standout performances, particularly by Ben Kingsley and Ray Winstone.
-
B.
Mr Beast
Mr Beast is a 2006 studio album by the Scottish post-rock band Mogwai, noted for its dynamic contrasts and atmospheric guitar-driven soundscapes.
-
C.
She’s a Beast
"She’s a Beast" is a song by the rock band Strut, known for its energetic style and powerful, riff-driven sound.
-
D.
Blatant Beast
The Blatant Beast is a monstrous symbol of slander and defamation in Edmund Spenser’s epic poem *The Faerie Queene*, representing the destructive power of malicious gossip.
-
E.
Womanizer
"Womanizer" is a 2008 electropop single by Britney Spears known for its catchy hook, feminist-leaning lyrics, and role in revitalizing her career.
- 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_69d381b22b8c8190aaed476be5f872a9 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e952c878819084e5d7a593a3f9e9 |
completed | April 7, 2026, 11:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d750a30af88190b2ebf0daf758ed44 |
completed | April 9, 2026, 7:09 a.m. |
Created at: April 6, 2026, 11:58 a.m.