Triple
T15460060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nightwatch (1994 film) |
E371873
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object |
Thura Film
Thura Film is a Danish film production company known for producing the 1994 horror-thriller "Nightwatch."
|
E1157495
|
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: Thura Film | Statement: [Nightwatch (1994 film), productionCompany, Thura Film]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thura Film Context triple: [Nightwatch (1994 film), productionCompany, Thura Film]
-
A.
Geria Film
Geria Film is a film production company known for producing the movie "Fedora."
-
B.
Zarganar
Zarganar is a prominent Burmese comedian, actor, and dissident known for his sharp political satire and repeated imprisonments under Myanmar’s military regimes.
-
C.
Muthaiga
Muthaiga is an affluent residential suburb of Nairobi, Kenya, known for its upscale homes, diplomatic residences, and exclusive social clubs.
-
D.
Meenas
The Meenas are an indigenous tribal community of northern India, historically associated with agrarian livelihoods, local chieftaincies, and a distinct cultural and religious heritage.
-
E.
Shinde
Shinde is an Indian surname historically associated with the Maratha community and borne by several notable political and public figures.
- 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: Thura Film Triple: [Nightwatch (1994 film), productionCompany, Thura Film]
Generated description
Thura Film is a Danish film production company known for producing the 1994 horror-thriller "Nightwatch."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Thura Film Target entity description: Thura Film is a Danish film production company known for producing the 1994 horror-thriller "Nightwatch."
-
A.
Geria Film
Geria Film is a film production company known for producing the movie "Fedora."
-
B.
Zarganar
Zarganar is a prominent Burmese comedian, actor, and dissident known for his sharp political satire and repeated imprisonments under Myanmar’s military regimes.
-
C.
Muthaiga
Muthaiga is an affluent residential suburb of Nairobi, Kenya, known for its upscale homes, diplomatic residences, and exclusive social clubs.
-
D.
Meenas
The Meenas are an indigenous tribal community of northern India, historically associated with agrarian livelihoods, local chieftaincies, and a distinct cultural and religious heritage.
-
E.
Shinde
Shinde is an Indian surname historically associated with the Maratha community and borne by several notable political and public figures.
- 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_69d85cc8bd308190886949510b42e764 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f17663c8190b995c7c3129c90d6 |
completed | April 16, 2026, 1:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff21b9817c819082e5c571b08bafb5 |
completed | May 9, 2026, 11:59 a.m. |
| NEDg | Description generation | batch_69ff2299ac9481909ad213ff5bb01db3 |
completed | May 9, 2026, 12:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff2325e6a48190bee256ef8720ba8e |
completed | May 9, 2026, 12:05 p.m. |
Created at: April 10, 2026, 3:32 a.m.