Triple
T15035436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TV Century 21 |
E378466
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
TV21
TV21 is a British science-fiction comic magazine from the 1960s best known for featuring stories based on Gerry and Sylvia Anderson’s Supermarionation TV series such as Thunderbirds and Captain Scarlet.
|
E1133517
|
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: TV21 | Statement: [TV Century 21, alsoKnownAs, TV21]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TV21 Context triple: [TV Century 21, alsoKnownAs, TV21]
-
A.
TV1
TV1 was the original name of SVT1, the primary television channel of Sweden's public broadcaster Sveriges Television.
-
B.
TV3
TV3 is a Catalan-language public television channel that plays a central role in promoting and reflecting Catalan culture and identity.
-
C.
VTV3
VTV3 is a Vietnamese national television channel known for broadcasting popular entertainment programs, reality shows, and game shows.
-
D.
We TV
We TV is an American cable television network known for its reality programming focused on relationships, family life, and pop culture.
-
E.
TVN
TVN is Chile's main public television network, known for its nationwide news, entertainment, and cultural programming.
- 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: TV21 Triple: [TV Century 21, alsoKnownAs, TV21]
Generated description
TV21 is a British science-fiction comic magazine from the 1960s best known for featuring stories based on Gerry and Sylvia Anderson’s Supermarionation TV series such as Thunderbirds and Captain Scarlet.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TV21 Target entity description: TV21 is a British science-fiction comic magazine from the 1960s best known for featuring stories based on Gerry and Sylvia Anderson’s Supermarionation TV series such as Thunderbirds and Captain Scarlet.
-
A.
TV1
TV1 was the original name of SVT1, the primary television channel of Sweden's public broadcaster Sveriges Television.
-
B.
TV3
TV3 is a Catalan-language public television channel that plays a central role in promoting and reflecting Catalan culture and identity.
-
C.
VTV3
VTV3 is a Vietnamese national television channel known for broadcasting popular entertainment programs, reality shows, and game shows.
-
D.
We TV
We TV is an American cable television network known for its reality programming focused on relationships, family life, and pop culture.
-
E.
TVN
TVN is Chile's main public television network, known for its nationwide news, entertainment, and cultural programming.
- 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded82b29948190acda49cbec3f927a |
completed | April 15, 2026, 12:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9dddd0208190b2dac7a078de2931 |
completed | May 9, 2026, 2:37 a.m. |
| NEDg | Description generation | batch_69fe9f58e39081909be07cda05484fb3 |
completed | May 9, 2026, 2:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe9ff62eb081908e170e099c99283b |
completed | May 9, 2026, 2:46 a.m. |
Created at: April 10, 2026, 2:59 a.m.