Triple
T20472009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Secret State |
E502215
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object | Company Pictures |
—
|
NE NERFINISHED |
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: Company Pictures | Statement: [Secret State, productionCompany, Company Pictures]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Company Pictures Context triple: [Secret State, productionCompany, Company Pictures]
-
A.
Company Pictures
chosen
Company Pictures is a British television and film production company known for creating acclaimed dramas and miniseries.
-
B.
Company
"Company" is a 2011 filmed stage production of the Stephen Sondheim musical, notable for its concert-style staging and direction by Sam Mendes.
-
C.
Company
Company is a short prose work by Samuel Beckett, notable for its minimalist style and introspective exploration of memory and identity.
-
D.
Company Films
Company Films is a film production company known for producing the science fiction drama movie "Passengers."
-
E.
Company Productions
Company Productions is a film production company best known for producing the acclaimed Tamil movie "Subramaniapuram."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4ae5f1081908768b0c9a3a0bf38 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6996197908190b6570e2a7fd6cf67 |
completed | April 20, 2026, 9:23 p.m. |
Created at: April 16, 2026, 11:33 a.m.