Triple
T17880447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Music Lovers |
E447068
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object |
Vic Films Productions
Vic Films Productions is a film production company best known for producing the 1970 British drama "The Music Lovers."
|
E1293211
|
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: Vic Films Productions | Statement: [The Music Lovers, productionCompany, Vic Films Productions]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vic Films Productions Context triple: [The Music Lovers, productionCompany, Vic Films Productions]
-
A.
Vinson Films
Vinson Films is a film production company known for producing the 2019 horror-comedy thriller "Ready or Not."
-
B.
Vistar Films
Vistar Films is a film production company best known for its involvement in the making of the 1985 horror-comedy classic "Fright Night."
-
C.
Valoria Films
Valoria Films is a film distribution company known for handling the release of various international and independent movies.
-
D.
Waverly Films
Waverly Films is a Brooklyn-based film and video production collective known for its offbeat comedy shorts, music videos, and collaborations with major studios and brands.
-
E.
Aries Films
Aries Films is a film distribution company known for handling the release of independent and art-house movies such as "Bad Lieutenant."
- 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: Vic Films Productions Triple: [The Music Lovers, productionCompany, Vic Films Productions]
Generated description
Vic Films Productions is a film production company best known for producing the 1970 British drama "The Music Lovers."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vic Films Productions Target entity description: Vic Films Productions is a film production company best known for producing the 1970 British drama "The Music Lovers."
-
A.
Vinson Films
Vinson Films is a film production company known for producing the 2019 horror-comedy thriller "Ready or Not."
-
B.
Vistar Films
Vistar Films is a film production company best known for its involvement in the making of the 1985 horror-comedy classic "Fright Night."
-
C.
Valoria Films
Valoria Films is a film distribution company known for handling the release of various international and independent movies.
-
D.
Waverly Films
Waverly Films is a Brooklyn-based film and video production collective known for its offbeat comedy shorts, music videos, and collaborations with major studios and brands.
-
E.
Aries Films
Aries Films is a film distribution company known for handling the release of independent and art-house movies such as "Bad Lieutenant."
- 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_69d8b9f4c22c819093c2680434472894 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49c0e56bc819097649377b520de63 |
completed | April 19, 2026, 9:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0313d3dba88190a5dd60d1d4ac63f0 |
completed | May 12, 2026, 11:49 a.m. |
| NEDg | Description generation | batch_6a0314c062388190807c3a40f3693b89 |
completed | May 12, 2026, 11:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03158595708190bdfa0391a829fbc3 |
completed | May 12, 2026, 11:56 a.m. |
Created at: April 10, 2026, 10:18 a.m.