Triple
T7025047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | André De Toth |
E162921
|
entity |
| Predicate | directorOf |
P537
|
FINISHED |
| Object | Play Dirty |
E636829
|
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: Play Dirty | Statement: [André De Toth, directorOf, Play Dirty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Play Dirty Context triple: [André De Toth, directorOf, Play Dirty]
-
A.
Play Dirty
chosen
"Play Dirty" is a 1969 British war film set in North Africa during World War II, known for its gritty realism and cynical take on commando missions behind enemy lines.
-
B.
Dirty Hands, Dirty Face
"Dirty Hands, Dirty Face" is a popular song from the late 1920s best known for its emotional performance by Al Jolson in the pioneering sound film *The Jazz Singer*.
-
C.
Dirty Fingers
Dirty Fingers is a hard rock/blues album by Irish guitarist Gary Moore, known for its raw sound and energetic guitar work.
-
D.
Something Dirty/Pic Got Us
"Something Dirty/Pic Got Us" is a song by the American glam metal band Poison, featured on one of their later releases.
-
E.
Dirty Laundry
Dirty Laundry is a film directed by American filmmaker Phil Joanou.
- 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_69c6885b26248190a857541e3d10e299 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e1fb8f0c8190b15dd7ce7ab6a8f2 |
completed | March 27, 2026, 8 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c78857d23c8190904a90459a802cb8 |
completed | March 28, 2026, 7:50 a.m. |
Created at: March 27, 2026, 2:35 p.m.