Triple
T8730560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kiss Me Deadly |
E207242
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Parklane Pictures |
E207242
|
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: Parklane Pictures | Statement: [Kiss Me Deadly, producer, Parklane Pictures]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Parklane Pictures Context triple: [Kiss Me Deadly, producer, Parklane Pictures]
-
A.
Parklane Pictures
chosen
Parklane Pictures was a mid-20th-century American film production company best known for producing the classic 1955 film noir "Kiss Me Deadly."
-
B.
Benaroya Pictures
Benaroya Pictures is an independent film production company known for financing and producing a range of critically acclaimed and commercially successful feature films.
-
C.
Sycamore Pictures
Sycamore Pictures is an American film production company known for financing and producing independent and mid-budget feature films.
-
D.
MadRiver Pictures
MadRiver Pictures is a film production company known for financing and producing high-profile, director-driven feature films.
-
E.
Silverwood Films
Silverwood Films is an independent film production company known for backing critically acclaimed dramas such as "Blue Valentine."
- 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_69ca8358e4008190898471a59b96c301 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d26d280819085e15d4917c2b9a5 |
completed | March 31, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf2923abc48190a5b6027c2e4f1db7 |
completed | April 3, 2026, 2:42 a.m. |
Created at: March 30, 2026, 6:37 p.m.