Triple
T21229850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Keep |
E523177
|
entity |
| Predicate | distributor |
P1951
|
FINISHED |
| Object |
CIC Video
CIC Video was a major home video distribution company, best known for releasing films from studios like Paramount and Universal on VHS and other formats in various international markets.
|
E1473652
|
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: CIC Video | Statement: [The Keep, distributor, CIC Video]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CIC Video Context triple: [The Keep, distributor, CIC Video]
-
A.
CIC
CIC is the three-letter IATA airport code assigned to Chico Municipal Airport in Chico, California.
-
B.
CIC
CIC is a major French banking group known for its role in retail and corporate banking and its partial privatization in the late 20th century.
-
C.
CIC
CIC is the station code for the Civic Center/Grand Park transit station in Los Angeles.
-
D.
CIC
CIC is the commonly used abbreviation for the Cement Industry Committee, an organization associated with the cement sector.
-
E.
VIDO
VIDO is a Canadian research organization at the University of Saskatchewan specializing in vaccine development and infectious disease research for both humans and animals.
- 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: CIC Video Triple: [The Keep, distributor, CIC Video]
Generated description
CIC Video was a major home video distribution company, best known for releasing films from studios like Paramount and Universal on VHS and other formats in various international markets.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CIC Video Target entity description: CIC Video was a major home video distribution company, best known for releasing films from studios like Paramount and Universal on VHS and other formats in various international markets.
-
A.
CIC
CIC is the commonly used abbreviation for the Cement Industry Committee, an organization associated with the cement sector.
-
B.
CIC
CIC is the three-letter IATA airport code assigned to Chico Municipal Airport in Chico, California.
-
C.
CIC
CIC is a major French banking group known for its role in retail and corporate banking and its partial privatization in the late 20th century.
-
D.
CIC
CIC is the station code for the Civic Center/Grand Park transit station in Los Angeles.
-
E.
VIDO
VIDO is a Canadian research organization at the University of Saskatchewan specializing in vaccine development and infectious disease research for both humans and animals.
- 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_69e0b512ad94819087942b2ed925185f |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e734ae60408190a9480b27d109b8fc |
completed | April 21, 2026, 8:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0986eb78208190b950f2c27d90f2d8 |
completed | May 17, 2026, 9:14 a.m. |
| NEDg | Description generation | batch_6a09876a38788190b2cef66b9d0c2f73 |
completed | May 17, 2026, 9:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09881c2d4c8190ab2cdf5dc99a43b0 |
completed | May 17, 2026, 9:19 a.m. |
Created at: April 16, 2026, 3:45 p.m.