Triple
T8084424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Notebook |
E188694
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object | Gran Via Productions |
E275838
|
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: Gran Via Productions | Statement: [The Notebook, productionCompany, Gran Via Productions]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gran Via Productions Context triple: [The Notebook, productionCompany, Gran Via Productions]
-
A.
Gran Via Productions
chosen
Gran Via Productions is a television and film production company best known for producing the acclaimed series "Breaking Bad."
-
B.
Siesta Productions
Siesta Productions is a film and television production company known for its work on the fantasy series "Carnival Row."
-
C.
Granada Productions
Granada Productions is a British television production company best known for creating and producing numerous popular UK TV dramas and series.
-
D.
Malpaso Productions
Malpaso Productions is Clint Eastwood’s film production company, known for producing many of his acclaimed movies across several decades.
-
E.
Elcajo Productions
Elcajo Productions is a film production company best known for its involvement in the making of the action movie "First Blood."
- 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_69ca82b662e88190b9323daab8c28a21 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb415e61ac81909e924aea69a7ff77 |
completed | March 31, 2026, 3:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc63ff37a88190a980e023a9b7c30c |
completed | April 1, 2026, 12:17 a.m. |
Created at: March 30, 2026, 5:29 p.m.