Triple
T15345836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greenland (film) |
E366913
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object |
G-BASE
G-BASE is a film and television production company co-founded by actor Gerard Butler, known for producing action and thriller projects.
|
E1151749
|
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: G-BASE | Statement: [Greenland (film), productionCompany, G-BASE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: G-BASE Context triple: [Greenland (film), productionCompany, G-BASE]
-
A.
SBASE
SBASE is the state-owned company responsible for managing and overseeing the Buenos Aires Underground metro system in Argentina.
-
B.
Baza
Baza is a historic town and municipality in southern Spain known for its archaeological heritage and location in the province of Granada, Andalusia.
-
C.
Baza
Baza is an alternative name for the Kunama people, an ethnic group primarily living in parts of Eritrea and northern Ethiopia.
-
D.
GBO
GBO is the common abbreviation used for the Greensboro Grasshoppers minor league baseball team.
-
E.
M-Base
M-Base is an innovative jazz-related musical concept and movement from the 1980s that emphasizes complex rhythms, improvisation, and creative expression, associated with artists like Steve Coleman and Greg Osby.
- 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: G-BASE Triple: [Greenland (film), productionCompany, G-BASE]
Generated description
G-BASE is a film and television production company co-founded by actor Gerard Butler, known for producing action and thriller projects.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: G-BASE Target entity description: G-BASE is a film and television production company co-founded by actor Gerard Butler, known for producing action and thriller projects.
-
A.
SBASE
SBASE is the state-owned company responsible for managing and overseeing the Buenos Aires Underground metro system in Argentina.
-
B.
Baza
Baza is an alternative name for the Kunama people, an ethnic group primarily living in parts of Eritrea and northern Ethiopia.
-
C.
Baza
Baza is a historic town and municipality in southern Spain known for its archaeological heritage and location in the province of Granada, Andalusia.
-
D.
GBO
GBO is the common abbreviation used for the Greensboro Grasshoppers minor league baseball team.
-
E.
M-Base
M-Base is an innovative jazz-related musical concept and movement from the 1980s that emphasizes complex rhythms, improvisation, and creative expression, associated with artists like Steve Coleman and Greg Osby.
- 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_69d85a1355608190a6673ddb67231d54 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e1749bc8190a8b9cbcb27288a5b |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff01f931408190828d87567cecaceb |
completed | May 9, 2026, 9:44 a.m. |
| NEDg | Description generation | batch_69ff034de0508190aea8068e9c3d04d3 |
completed | May 9, 2026, 9:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff03c0ebc081908b1a132256e9d004 |
completed | May 9, 2026, 9:52 a.m. |
Created at: April 10, 2026, 3:17 a.m.