Triple
T11168928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 3:10 to Yuma (2007 film) |
E264225
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object |
Tree Line Films
Tree Line Films is a film production company known for working on major feature films, including the 2007 Western thriller "3:10 to Yuma."
|
E908797
|
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: Tree Line Films | Statement: [3:10 to Yuma (2007 film), productionCompany, Tree Line Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tree Line Films Context triple: [3:10 to Yuma (2007 film), productionCompany, Tree Line Films]
-
A.
BorderLine Films
BorderLine Films is an independent film production company known for producing dark, character-driven dramas and psychological thrillers.
-
B.
Wildflower Films
Wildflower Films is a film production company known for producing the Australian drama feature "The Daughter."
-
C.
MadRiver Pictures
MadRiver Pictures is a film production company known for financing and producing high-profile, director-driven feature films.
-
D.
Firefly Films
Firefly Films is a film production company known for producing the darkly comedic thriller "Come to Daddy."
-
E.
Parklane Pictures
Parklane Pictures was a mid-20th-century American film production company best known for producing the classic 1955 film noir "Kiss Me Deadly."
- 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: Tree Line Films Triple: [3:10 to Yuma (2007 film), productionCompany, Tree Line Films]
Generated description
Tree Line Films is a film production company known for working on major feature films, including the 2007 Western thriller "3:10 to Yuma."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tree Line Films Target entity description: Tree Line Films is a film production company known for working on major feature films, including the 2007 Western thriller "3:10 to Yuma."
-
A.
BorderLine Films
BorderLine Films is an independent film production company known for producing dark, character-driven dramas and psychological thrillers.
-
B.
Wildflower Films
Wildflower Films is a film production company known for producing the Australian drama feature "The Daughter."
-
C.
MadRiver Pictures
MadRiver Pictures is a film production company known for financing and producing high-profile, director-driven feature films.
-
D.
Firefly Films
Firefly Films is a film production company known for producing the darkly comedic thriller "Come to Daddy."
-
E.
Parklane Pictures
Parklane Pictures was a mid-20th-century American film production company best known for producing the classic 1955 film noir "Kiss Me Deadly."
- 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_69d6aa9dafac8190bd90d2c74f661aa7 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8952e248190b0751669e8c960b7 |
completed | April 9, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e463a2e2fc819086126b681d86e94b |
completed | April 19, 2026, 5:09 a.m. |
| NEDg | Description generation | batch_69e46c37efec81908aa709587c37569d |
completed | April 19, 2026, 5:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e47292cdd08190b05c4c8b09f4f918 |
completed | April 19, 2026, 6:13 a.m. |
Created at: April 8, 2026, 9:29 p.m.