Triple
T6500321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kiss |
E148866
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Dressed to Kill |
E247481
|
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: Dressed to Kill | Statement: [Kiss, notableWork, Dressed to Kill]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dressed to Kill Context triple: [Kiss, notableWork, Dressed to Kill]
-
A.
Dressed to Kill
chosen
Dressed to Kill is a 1980 erotic psychological thriller film by Brian De Palma, known for its stylish direction, suspenseful plot, and Hitchcockian influences.
-
B.
Dressed to Kill
Dressed to Kill is a critically acclaimed stand-up comedy special by British comedian Eddie Izzard, known for its surreal, historical, and stream-of-consciousness humor.
-
C.
Sex Kills
"Sex Kills" is a socially conscious song by Joni Mitchell that critiques modern society’s moral decay, consumerism, and violence.
-
D.
Killer Women
Killer Women is an American crime drama television series that follows a tough female Texas Ranger as she investigates cases involving women accused of murder.
-
E.
Dressed to Kill (1946 film)
Dressed to Kill (1946 film) is a 1946 mystery-comedy movie featuring Nigel Bruce in a lighthearted whodunit involving murder and mistaken identities.
- 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_69c687e9ad288190bae5bcac9c8ac855 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c68ad2e148819088be5c48ad73dc59 |
completed | March 27, 2026, 1:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cb26d2d08190a52084c3a8c0d8f8 |
completed | March 27, 2026, 6:23 p.m. |
Created at: March 27, 2026, 1:42 p.m.