Triple
T4623339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fedora |
E101036
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object |
Geria Film
Geria Film is a film production company known for producing the movie "Fedora."
|
E456989
|
NE FINISHED |
How this triple was built (4 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: Geria Film | Statement: [Fedora, productionCompany, Geria Film]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Geria Film Context triple: [Fedora, productionCompany, Geria Film]
-
A.
Teitler Film
Teitler Film is a film production company known for producing feature films such as the family sci-fi adventure "Zathura: A Space Adventure."
-
B.
Mantaray Film
Mantaray Film is a Swedish film production company known for producing acclaimed documentaries and feature films, often with a strong focus on personal and artistic stories.
-
C.
GK Films
GK Films is a British-American production company founded by producer Graham King, known for backing acclaimed films such as Argo, The Departed, and Bohemian Rhapsody.
-
D.
Guillermin
Guillermin is a French-origin surname most notably associated with British film director John Guillermin, known for works such as "The Towering Inferno" and the 1976 remake of "King Kong."
-
E.
Mr. Director
Mr. Director is the formal style of address used for the Cabinet-level head of the United States Office of Management and Budget.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Geria Film Triple: [Fedora, productionCompany, Geria Film]
Generated description
Geria Film is a film production company known for producing the movie "Fedora."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Geria Film Target entity description: Geria Film is a film production company known for producing the movie "Fedora."
-
A.
Teitler Film
Teitler Film is a film production company known for producing feature films such as the family sci-fi adventure "Zathura: A Space Adventure."
-
B.
Mantaray Film
Mantaray Film is a Swedish film production company known for producing acclaimed documentaries and feature films, often with a strong focus on personal and artistic stories.
-
C.
GK Films
GK Films is a British-American production company founded by producer Graham King, known for backing acclaimed films such as Argo, The Departed, and Bohemian Rhapsody.
-
D.
Guillermin
Guillermin is a French-origin surname most notably associated with British film director John Guillermin, known for works such as "The Towering Inferno" and the 1976 remake of "King Kong."
-
E.
Mr. Director
Mr. Director is the formal style of address used for the Cabinet-level head of the United States Office of Management and Budget.
- F. None of above. chosen
Provenance (5 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_69bd43d0497c8190ac23c65c5804846a |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5a053d38819097b3ecbc06aa6e4d |
completed | March 20, 2026, 2:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdfaa069388190b6482315708b85c2 |
completed | March 21, 2026, 1:55 a.m. |
| NEDg | Description generation | batch_69bdfb9422e48190819d5d99e72e8854 |
completed | March 21, 2026, 1:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bdfc6ac91c819090776365d3dc05d4 |
completed | March 21, 2026, 2:03 a.m. |
Created at: March 20, 2026, 1:12 p.m.