Triple
T7281513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gülse Birsel |
E163159
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object |
Show TV
Show TV is a major Turkish national television channel known for broadcasting popular entertainment programs, series, and news.
|
E654077
|
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: Show TV | Statement: [Gülse Birsel, employer, Show TV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Show TV Context triple: [Gülse Birsel, employer, Show TV]
-
A.
We TV
We TV is an American cable television network known for its reality programming focused on relationships, family life, and pop culture.
-
B.
TV Action
TV Action was a British weekly comic magazine known for publishing adventure and science fiction strips based on popular television series.
-
C.
.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.
-
D.
TVING
TVING is a South Korean online streaming platform offering a wide range of domestic films, dramas, and entertainment content.
-
E.
Showtime
Showtime is an American premium cable and streaming network known for its original, often edgy series, films, and sports 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: Show TV Triple: [Gülse Birsel, employer, Show TV]
Generated description
Show TV is a major Turkish national television channel known for broadcasting popular entertainment programs, series, and news.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Show TV Target entity description: Show TV is a major Turkish national television channel known for broadcasting popular entertainment programs, series, and news.
-
A.
We TV
We TV is an American cable television network known for its reality programming focused on relationships, family life, and pop culture.
-
B.
TV Action
TV Action was a British weekly comic magazine known for publishing adventure and science fiction strips based on popular television series.
-
C.
.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.
-
D.
TVING
TVING is a South Korean online streaming platform offering a wide range of domestic films, dramas, and entertainment content.
-
E.
Showtime
Showtime is an American premium cable and streaming network known for its original, often edgy series, films, and sports 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_69c6885c5964819085b209701769877f |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb34fe0c8190a642fd3339f0cacd |
completed | March 27, 2026, 8:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7db379e1c81908ebd4c44504ce5fb |
completed | March 28, 2026, 1:44 p.m. |
| NEDg | Description generation | batch_69c7df4788e081908ccc162125c6550d |
completed | March 28, 2026, 2:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7dfa826d081909129df80cca13daa |
completed | March 28, 2026, 2:03 p.m. |
Created at: March 27, 2026, 2:59 p.m.