Triple
T2215067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nomadland |
E48011
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object |
Highwayman Films
Highwayman Films is a film production company best known for producing the acclaimed drama "Nomadland."
|
E243964
|
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: Highwayman Films | Statement: [Nomadland, productionCompany, Highwayman Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Highwayman Films Context triple: [Nomadland, productionCompany, Highwayman Films]
-
A.
Hartswood Films
Hartswood Films is a British television production company best known internationally for creating the hit detective series "Sherlock."
-
B.
Hawk Films
Hawk Films was a British film production company best known for producing several of Stanley Kubrick’s films, including "The Shining."
-
C.
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."
-
D.
MadRiver Pictures
MadRiver Pictures is a film production company known for financing and producing high-profile, director-driven feature films.
-
E.
Goldcrest Films
Goldcrest Films is a British film production company best known for backing acclaimed films such as the Oscar-winning "Chariots of Fire."
- 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: Highwayman Films Triple: [Nomadland, productionCompany, Highwayman Films]
Generated description
Highwayman Films is a film production company best known for producing the acclaimed drama "Nomadland."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Highwayman Films Target entity description: Highwayman Films is a film production company best known for producing the acclaimed drama "Nomadland."
-
A.
Hartswood Films
Hartswood Films is a British television production company best known internationally for creating the hit detective series "Sherlock."
-
B.
Hawk Films
Hawk Films was a British film production company best known for producing several of Stanley Kubrick’s films, including "The Shining."
-
C.
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."
-
D.
MadRiver Pictures
MadRiver Pictures is a film production company known for financing and producing high-profile, director-driven feature films.
-
E.
Goldcrest Films
Goldcrest Films is a British film production company best known for backing acclaimed films such as the Oscar-winning "Chariots of Fire."
- 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_69a88aa1ee708190862c8c378c41e9eb |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abbff11574819091d1b50d637ae767 |
completed | March 7, 2026, 6:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae6554f3308190a180cac3ad7e2ce4 |
completed | March 9, 2026, 6:14 a.m. |
| NEDg | Description generation | batch_69ae65d419048190ad723d21ab7f1cab |
completed | March 9, 2026, 6:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae666e71908190b50be2cac5bdfa28 |
completed | March 9, 2026, 6:19 a.m. |
Created at: March 4, 2026, 7:46 p.m.