Triple
T14853713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Observe and Report |
E349296
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object | De Line Pictures |
E250962
|
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: De Line Pictures | Statement: [Observe and Report, productionCompany, De Line Pictures]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: De Line Pictures Context triple: [Observe and Report, productionCompany, De Line Pictures]
-
A.
De Line Pictures
chosen
De Line Pictures is a film production company known for producing major Hollywood movies, including the 2003 remake of "The Italian Job."
-
B.
BorderLine Films
BorderLine Films is an independent film production company known for producing dark, character-driven dramas and psychological thrillers.
-
C.
Tree Line Films
Tree Line Films is a film production company known for working on major feature films, including the 2007 Western thriller "3:10 to Yuma."
-
D.
Dendy Films
Dendy Films is an Australian film distribution company known for releasing independent, arthouse, and international cinema.
-
E.
Nyerai Films
Nyerai Films is a Zimbabwean film production company known for creating socially conscious, women-centered stories under the leadership of writer and filmmaker Tsitsi Dangarembga.
- 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_69d822ed7e1881909b90fca143ad7e34 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded44318f0819080b6c599f2d3474f |
completed | April 14, 2026, 11:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6506ace48190819504b93f575660 |
completed | May 8, 2026, 10:34 p.m. |
Created at: April 10, 2026, 1:54 a.m.