Triple
T9462389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Blue Angel |
E228180
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object | UFA |
E355973
|
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: UFA | Statement: [The Blue Angel, productionCompany, UFA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UFA Context triple: [The Blue Angel, productionCompany, UFA]
-
A.
UFA
UFA is the acronym for the Uniformed Firefighters Association, the labor union representing New York City’s rank-and-file firefighters.
-
B.
UFA
chosen
UFA (Universum Film AG) was a major German film production and distribution company, especially prominent during the Weimar Republic and early 20th-century cinema.
-
C.
UFA film studios
UFA film studios was a major German film production company that became a central force in shaping the innovative and influential cinema of the Weimar Republic.
-
D.
Ufaorgsintez
Ufaorgsintez is a major petrochemical and oil refining complex located in Ufa, Russia, known for producing a wide range of petroleum products and chemical feedstocks.
-
E.
UAFA
UAFA is the Union of Arab Football Associations, the regional governing body that organizes football competitions among Arab countries in Asia and Africa.
- 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_69ca846fee388190a6ec273fd644b88b |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7fcd9794819093c392489d4efbe9 |
completed | April 1, 2026, 8:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1229ec9448190bac9b7a38e030833 |
completed | April 4, 2026, 2:39 p.m. |
Created at: March 30, 2026, 7:53 p.m.