Triple
T14329374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Another Me |
E355300
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object |
Rainy Day Films
Rainy Day Films is a film production company known for producing the psychological thriller "Another Me."
|
E1094319
|
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: Rainy Day Films | Statement: [Another Me, productionCompany, Rainy Day Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rainy Day Films Context triple: [Another Me, productionCompany, Rainy Day Films]
-
A.
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.
-
B.
MadRiver Pictures
MadRiver Pictures is a film production company known for financing and producing high-profile, director-driven feature films.
-
C.
Rainmark Films
Rainmark Films is a British film and television production company known for producing high-quality dramas and feature films.
-
D.
Sunrise Films
Sunrise Films is a film distribution company known for handling the release of independent and international movies such as "Dinner Rush."
-
E.
Wildflower Films
Wildflower Films is a film production company known for producing the Australian drama feature "The Daughter."
- 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: Rainy Day Films Triple: [Another Me, productionCompany, Rainy Day Films]
Generated description
Rainy Day Films is a film production company known for producing the psychological thriller "Another Me."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rainy Day Films Target entity description: Rainy Day Films is a film production company known for producing the psychological thriller "Another Me."
-
A.
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.
-
B.
MadRiver Pictures
MadRiver Pictures is a film production company known for financing and producing high-profile, director-driven feature films.
-
C.
Rainmark Films
Rainmark Films is a British film and television production company known for producing high-quality dramas and feature films.
-
D.
Sunrise Films
Sunrise Films is a film distribution company known for handling the release of independent and international movies such as "Dinner Rush."
-
E.
Wildflower Films
Wildflower Films is a film production company known for producing the Australian drama feature "The Daughter."
- 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_69d8278fa2108190bc0d0e7939c1eb03 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8c1def0081908f03cda8e84d20c0 |
completed | April 14, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd46927af48190b91095d852fcacbe |
completed | May 8, 2026, 2:12 a.m. |
| NEDg | Description generation | batch_69fd47fa764c8190b1d691f5847b7a05 |
completed | May 8, 2026, 2:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd492226888190a014b23e506ab19c |
completed | May 8, 2026, 2:23 a.m. |
Created at: April 10, 2026, 1:13 a.m.