Triple
T20309627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TV Quick Awards |
E510201
|
entity |
| Predicate | presentedBy |
P83
|
FINISHED |
| Object |
TV Quick
TV Quick is a British television listings magazine known for covering popular TV shows and presenting the annual TV Quick Awards.
|
E1424202
|
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: TV Quick | Statement: [TV Quick Awards, presentedBy, TV Quick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TV Quick Context triple: [TV Quick Awards, presentedBy, TV Quick]
-
A.
.tv
.tv is the country-code top-level domain originally assigned to Tuvalu that has become popular worldwide for websites related to television and video content.
-
B.
TV Guide
TV Guide is a long-running American weekly magazine and digital platform that provides television program listings, entertainment news, and industry features.
-
C.
TV
TV is Apple’s media playback and streaming application for watching movies, TV shows, and other video content across Apple devices.
-
D.
TV.com
TV.com was an online television information and community website that provided episode guides, reviews, and discussion forums for TV shows and networks.
-
E.
TV Media
TV Media is a division of Paramount Global focused on managing and distributing the company’s television-related content and networks.
- 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: TV Quick Triple: [TV Quick Awards, presentedBy, TV Quick]
Generated description
TV Quick is a British television listings magazine known for covering popular TV shows and presenting the annual TV Quick Awards.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TV Quick Target entity description: TV Quick is a British television listings magazine known for covering popular TV shows and presenting the annual TV Quick Awards.
-
A.
.tv
.tv is the country-code top-level domain originally assigned to Tuvalu that has become popular worldwide for websites related to television and video content.
-
B.
TV Guide
TV Guide is a long-running American weekly magazine and digital platform that provides television program listings, entertainment news, and industry features.
-
C.
TV
TV is Apple’s media playback and streaming application for watching movies, TV shows, and other video content across Apple devices.
-
D.
TV.com
TV.com was an online television information and community website that provided episode guides, reviews, and discussion forums for TV shows and networks.
-
E.
TV Media
TV Media is a division of Paramount Global focused on managing and distributing the company’s television-related content and networks.
- 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_69e0b4c7491c8190961113c4283b10b0 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6774286a88190800d6b062f3d7a9f |
completed | April 20, 2026, 6:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08612051088190b68a6107eb941655 |
completed | May 16, 2026, 12:20 p.m. |
| NEDg | Description generation | batch_6a086255182881908eeaa49d34bf3ba5 |
completed | May 16, 2026, 12:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08635869148190992d75a8806f767c |
completed | May 16, 2026, 12:30 p.m. |
Created at: April 16, 2026, 11:18 a.m.