Triple
T6596442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amiga |
E148486
|
entity |
| Predicate | model |
P2006
|
FINISHED |
| Object |
CDTV
CDTV is a multimedia home entertainment and computing system developed by Commodore based on Amiga technology, combining a CD-ROM player with a personal computer.
|
E607153
|
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: CDTV | Statement: [Amiga, model, CDTV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CDTV Context triple: [Amiga, model, CDTV]
-
A.
Edtv
Edtv is a 1999 American comedy film directed by Ron Howard about an ordinary man whose life is turned into a nonstop reality TV show.
-
B.
Start TV
Start TV is an American digital broadcast television network that primarily airs classic, female-led procedural dramas from the 1980s through the early 2000s.
-
C.
CTVA
CTVA is the stock ticker symbol for Corteva, Inc., a major global agricultural chemical and seed company.
-
D.
Star TV
Star TV is a major Asian satellite television network known for its broad entertainment and news programming across multiple countries.
-
E.
NET TV
NET TV is a Catholic television network based in Brooklyn that produces and broadcasts religious and community programming for the Diocese of Brooklyn and surrounding areas.
- 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: CDTV Triple: [Amiga, model, CDTV]
Generated description
CDTV is a multimedia home entertainment and computing system developed by Commodore based on Amiga technology, combining a CD-ROM player with a personal computer.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CDTV Target entity description: CDTV is a multimedia home entertainment and computing system developed by Commodore based on Amiga technology, combining a CD-ROM player with a personal computer.
-
A.
Edtv
Edtv is a 1999 American comedy film directed by Ron Howard about an ordinary man whose life is turned into a nonstop reality TV show.
-
B.
Start TV
Start TV is an American digital broadcast television network that primarily airs classic, female-led procedural dramas from the 1980s through the early 2000s.
-
C.
CTVA
CTVA is the stock ticker symbol for Corteva, Inc., a major global agricultural chemical and seed company.
-
D.
Star TV
Star TV is a major Asian satellite television network known for its broad entertainment and news programming across multiple countries.
-
E.
NET TV
NET TV is a Catholic television network based in Brooklyn that produces and broadcasts religious and community programming for the Diocese of Brooklyn and surrounding areas.
- 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_69c687e7b8688190811ffee72e096468 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6aeecdd4c819092b87f4c91883154 |
completed | March 27, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6e42fc9ec8190a6bb19010337d516 |
completed | March 27, 2026, 8:10 p.m. |
| NEDg | Description generation | batch_69c6e4e9c344819099ad11c21c2e4a6e |
completed | March 27, 2026, 8:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6e581a4f88190b1f64033a49d1bae |
completed | March 27, 2026, 8:16 p.m. |
Created at: March 27, 2026, 1:56 p.m.