Triple
T15059608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bad Lieutenant |
E379589
|
entity |
| Predicate | distributor |
P1951
|
FINISHED |
| Object |
Cineville
Cineville is a film distribution company known for handling independent and art-house movies such as "Bad Lieutenant."
|
E1135908
|
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: Cineville | Statement: [Bad Lieutenant, distributor, Cineville]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cineville Context triple: [Bad Lieutenant, distributor, Cineville]
-
A.
Villefontaine
Villefontaine is a commune in the Isère department of southeastern France, known as a suburban town within the Grenoble urban area.
-
B.
Hédouville
Hédouville is a small commune in the Val-d'Oise department in the Île-de-France region of northern France.
-
C.
Poulainville
Poulainville is a small commune in northern France located in the Somme department of the Hauts-de-France region.
-
D.
Vollore-Ville
Vollore-Ville is a small commune in central France’s Puy-de-Dôme department, known for its historic château and scenic location in the Livradois-Forez area.
-
E.
Courtedoux
Courtedoux is a small municipality in the Ajoie region of the canton of Jura in northwestern Switzerland.
- 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: Cineville Triple: [Bad Lieutenant, distributor, Cineville]
Generated description
Cineville is a film distribution company known for handling independent and art-house movies such as "Bad Lieutenant."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cineville Target entity description: Cineville is a film distribution company known for handling independent and art-house movies such as "Bad Lieutenant."
-
A.
Villefontaine
Villefontaine is a commune in the Isère department of southeastern France, known as a suburban town within the Grenoble urban area.
-
B.
Hédouville
Hédouville is a small commune in the Val-d'Oise department in the Île-de-France region of northern France.
-
C.
Poulainville
Poulainville is a small commune in northern France located in the Somme department of the Hauts-de-France region.
-
D.
Vollore-Ville
Vollore-Ville is a small commune in central France’s Puy-de-Dôme department, known for its historic château and scenic location in the Livradois-Forez area.
-
E.
Courtedoux
Courtedoux is a small municipality in the Ajoie region of the canton of Jura in northwestern Switzerland.
- 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_69d85cd64d108190853797a95c11cc45 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69dedee50afc8190bf7b0f4bbe8c60a3 |
completed | April 15, 2026, 12:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fea5c2fcec8190800d1bda82c7352e |
completed | May 9, 2026, 3:10 a.m. |
| NEDg | Description generation | batch_69fea9c0ad748190989920efe418001c |
completed | May 9, 2026, 3:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69feaa2fbafc8190b592d89b07b49765 |
completed | May 9, 2026, 3:29 a.m. |
Created at: April 10, 2026, 3:01 a.m.