Triple
T2350909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sunshine |
E47444
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object | DNA Films |
E258397
|
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: DNA Films | Statement: [Sunshine, productionCompany, DNA Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DNA Films Context triple: [Sunshine, productionCompany, DNA Films]
-
A.
DNA Films
chosen
DNA Films is a British film production company known for producing notable movies such as "28 Days Later" and other critically acclaimed features.
-
B.
DNA
DNA is a major social-democratic political party in Norway, historically one of the country’s dominant governing parties.
-
C.
Celluloid
Celluloid is a lightweight, open-source media player for Linux that provides a simple GTK-based interface for the MPV playback engine.
-
D.
Filmscience
Filmscience is an independent film production company known for backing distinctive, often genre-bending projects such as the thriller "Green Room."
-
E.
The Cell
The Cell is a nickname for the Chicago White Sox’s home ballpark, officially known for much of its history as U.S. Cellular Field.
- 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_69a88a1b678c8190bce986922ba60ce0 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abc6f75d888190a2e41edaa532e83f |
completed | March 7, 2026, 6:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aea884ac4c8190b484db995251c136 |
completed | March 9, 2026, 11:01 a.m. |
Created at: March 4, 2026, 7:54 p.m.