Triple
T20297863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ophelia (2018 film) |
E505398
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object |
Bobker/Kruger Films
Bobker/Kruger Films is a film production company known for producing the 2018 romantic drama "Ophelia."
|
E1422118
|
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: Bobker/Kruger Films | Statement: [Ophelia (2018 film), productionCompany, Bobker/Kruger Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bobker/Kruger Films Context triple: [Ophelia (2018 film), productionCompany, Bobker/Kruger Films]
-
A.
Skreba Films
Skreba Films is a film production company known for producing the biographical drama "Tom & Viv."
-
B.
Roth/Kirschenbaum Films
Roth/Kirschenbaum Films is a film production company co-founded by producers Joe Roth and Jeff Kirschenbaum, known for backing major Hollywood studio features.
-
C.
Brio Films
Brio Films is a French film production company known for producing imaginative and visually distinctive movies such as Michel Gondry’s "Mood Indigo."
-
D.
Barwood Films
Barwood Films is a film production company co-founded by Barbra Streisand, known for producing several of her starring and directing projects.
-
E.
Lippert Films
Lippert Films was an American independent film distribution and production company active in the mid-20th century, known for handling low-budget genre movies.
- 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: Bobker/Kruger Films Triple: [Ophelia (2018 film), productionCompany, Bobker/Kruger Films]
Generated description
Bobker/Kruger Films is a film production company known for producing the 2018 romantic drama "Ophelia."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bobker/Kruger Films Target entity description: Bobker/Kruger Films is a film production company known for producing the 2018 romantic drama "Ophelia."
-
A.
Skreba Films
Skreba Films is a film production company known for producing the biographical drama "Tom & Viv."
-
B.
Roth/Kirschenbaum Films
Roth/Kirschenbaum Films is a film production company co-founded by producers Joe Roth and Jeff Kirschenbaum, known for backing major Hollywood studio features.
-
C.
Brio Films
Brio Films is a French film production company known for producing imaginative and visually distinctive movies such as Michel Gondry’s "Mood Indigo."
-
D.
Barwood Films
Barwood Films is a film production company co-founded by Barbra Streisand, known for producing several of her starring and directing projects.
-
E.
Lippert Films
Lippert Films was an American independent film distribution and production company active in the mid-20th century, known for handling low-budget genre movies.
- 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_69e0b4b8ab648190906e18538c250148 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e677095fb481909806214da4002b59 |
completed | April 20, 2026, 6:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a085a3493888190bbe6716c6e6ff579 |
completed | May 16, 2026, 11:51 a.m. |
| NEDg | Description generation | batch_6a085ab05b708190b69aaeb43aca664e |
completed | May 16, 2026, 11:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a085b505a0481909e3f54868b732fc8 |
completed | May 16, 2026, 11:56 a.m. |
Created at: April 16, 2026, 11:16 a.m.