Triple
T7630775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Space Cowboys |
E172753
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object | Malpaso Productions |
E234195
|
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: Malpaso Productions | Statement: [Space Cowboys, productionCompany, Malpaso Productions]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malpaso Productions Context triple: [Space Cowboys, productionCompany, Malpaso Productions]
-
A.
Malpaso Productions
chosen
Malpaso Productions is Clint Eastwood’s film production company, known for producing many of his acclaimed movies across several decades.
-
B.
Siesta Productions
Siesta Productions is a film and television production company known for its work on the fantasy series "Carnival Row."
-
C.
Macassar Productions
Macassar Productions is a film production company known for working on the German drama thriller "In the Fade."
-
D.
Elcajo Productions
Elcajo Productions is a film production company best known for its involvement in the making of the action movie "First Blood."
-
E.
Gran Via Productions
Gran Via Productions is a television and film production company best known for producing the acclaimed series "Breaking Bad."
- 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_69c699517e348190bd3348b6889200f2 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6fa85c57c8190acfd33e0c890c2f9 |
completed | March 27, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c870b3984c8190b16a49415556a27d |
completed | March 29, 2026, 12:22 a.m. |
Created at: March 27, 2026, 3:56 p.m.