Triple
T14077722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ultraviolet |
E338780
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | World Productions |
E860591
|
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: World Productions | Statement: [Ultraviolet, producer, World Productions]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: World Productions Context triple: [Ultraviolet, producer, World Productions]
-
A.
World Productions
chosen
World Productions is a British television production company known for creating acclaimed drama series such as Line of Duty and Bodyguard.
-
B.
Company Productions
Company Productions is a film production company best known for producing the acclaimed Tamil movie "Subramaniapuram."
-
C.
Pacific Productions
Pacific Productions is a television production company best known for producing the popular cooking and lifestyle series "The Pioneer Woman."
-
D.
Sky Productions
Sky Productions is a television production company best known for co-producing the action-packed drama series "Strike Back."
-
E.
Feature Productions
Feature Productions was a film production company active during the silent film era, known for producing movies such as "The Son of the Sheik."
- 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_69d81c687b0c819087fd9ed4198403f8 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5c5e027881908f610f5bab7598d4 |
completed | April 14, 2026, 3:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb670f51c819088e8d0137f8d3bb1 |
completed | May 7, 2026, 3:57 p.m. |
Created at: April 9, 2026, 10:21 p.m.