Triple
T15213641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beckett on Film: Rockaby |
E363580
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object | Blue Angel Films |
E1101765
|
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: Blue Angel Films | Statement: [Beckett on Film: Rockaby, productionCompany, Blue Angel Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blue Angel Films Context triple: [Beckett on Film: Rockaby, productionCompany, Blue Angel Films]
-
A.
Blue Angel Films
chosen
Blue Angel Films is a film production company known for its work on adaptations of Samuel Beckett’s plays, including the "Beckett on Film" project.
-
B.
Aries Films
Aries Films is a film distribution company known for handling the release of independent and art-house movies such as "Bad Lieutenant."
-
C.
Athos Films
Athos Films is a French film distribution company known for handling the release of notable art-house and New Wave films.
-
D.
Allegro Films
Allegro Films is a film production company known for producing feature films such as the 1997 movie "Trucks."
-
E.
Sunrise Films
Sunrise Films is a film distribution company known for handling the release of independent and international movies such as "Dinner Rush."
- 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0076c9e2481909d7a464b2172f4bf |
completed | April 15, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed341cfb8819086b386c6cb905eda |
completed | May 9, 2026, 6:25 a.m. |
Created at: April 10, 2026, 3:11 a.m.