Triple
T1631347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mike Holmes |
E35262
|
entity |
| Predicate | hasEmployer |
P7
|
FINISHED |
| Object |
CTV
CTV is a major Canadian television network known for broadcasting a wide range of news, entertainment, and reality programming.
|
E184110
|
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: CTV | Statement: [Mike Holmes, hasEmployer, CTV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CTV Context triple: [Mike Holmes, hasEmployer, CTV]
-
A.
Citytv
Citytv is a Canadian television network known for its urban-focused programming and distinctive, youth-oriented branding.
-
B.
CBC
CBC is Canada's national public broadcaster, known for airing major sports events, news, and original programming on television and radio.
-
C.
Nine Network
Nine Network is a major Australian commercial television network known for broadcasting popular news, sports, and entertainment programming nationwide.
-
D.
ThisTV Network
ThisTV Network is a U.S. digital multicast television network known for airing a wide selection of classic movies and television series.
-
E.
Star TV
Star TV is a major Asian satellite television network known for its broad entertainment and news programming across multiple countries.
- 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: CTV Triple: [Mike Holmes, hasEmployer, CTV]
Generated description
CTV is a major Canadian television network known for broadcasting a wide range of news, entertainment, and reality programming.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CTV Target entity description: CTV is a major Canadian television network known for broadcasting a wide range of news, entertainment, and reality programming.
-
A.
Citytv
Citytv is a Canadian television network known for its urban-focused programming and distinctive, youth-oriented branding.
-
B.
CBC
CBC is Canada's national public broadcaster, known for airing major sports events, news, and original programming on television and radio.
-
C.
Nine Network
Nine Network is a major Australian commercial television network known for broadcasting popular news, sports, and entertainment programming nationwide.
-
D.
ThisTV Network
ThisTV Network is a U.S. digital multicast television network known for airing a wide selection of classic movies and television series.
-
E.
Star TV
Star TV is a major Asian satellite television network known for its broad entertainment and news programming across multiple countries.
- 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_69a886036bc081909ff5de16dbe5e8ea |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a909f5ae98819091ce5e00eb4256a2 |
completed | March 5, 2026, 4:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad58d79bc88190bfc62f53dd8e8b90 |
completed | March 8, 2026, 11:09 a.m. |
| NEDg | Description generation | batch_69ad5a8083008190b46812bd3ebb27c9 |
completed | March 8, 2026, 11:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad5aef85a88190b86b8845f180b334 |
completed | March 8, 2026, 11:18 a.m. |
Created at: March 4, 2026, 7:28 p.m.