Triple
T15868066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UKTV |
E384762
|
entity |
| Predicate | ownsChannel |
P61714
|
FINISHED |
| Object |
W
W is a British pay television channel known for airing entertainment, lifestyle, and reality programming, including original UKTV productions and imported series.
|
E1181849
|
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: W | Statement: [UKTV, ownsChannel, W]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: W Context triple: [UKTV, ownsChannel, W]
-
A.
W
W is one of the iconic white capital letters that make up the famous Hollywood Sign overlooking Los Angeles.
-
B.
W
The W is a local New York City Subway service that runs on the BMT Broadway Line in Manhattan and Queens, typically operating on weekdays.
-
C.
WO
WO is the abbreviation for the Welsh Office, a former UK government department responsible for Welsh affairs.
-
D.
The W
The W is the second studio album by the Wu-Tang Clan, known for its darker, more stripped-down sound and prominent guest appearances.
-
E.
The W
The W is the commonly used nickname for Mississippi University for Women, a public university in Columbus, Mississippi.
- 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: W Triple: [UKTV, ownsChannel, W]
Generated description
W is a British pay television channel known for airing entertainment, lifestyle, and reality programming, including original UKTV productions and imported series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: W Target entity description: W is a British pay television channel known for airing entertainment, lifestyle, and reality programming, including original UKTV productions and imported series.
-
A.
W
W is one of the iconic white capital letters that make up the famous Hollywood Sign overlooking Los Angeles.
-
B.
W
The W is a local New York City Subway service that runs on the BMT Broadway Line in Manhattan and Queens, typically operating on weekdays.
-
C.
WO
WO is the abbreviation for the Welsh Office, a former UK government department responsible for Welsh affairs.
-
D.
The W
The W is the second studio album by the Wu-Tang Clan, known for its darker, more stripped-down sound and prominent guest appearances.
-
E.
The W
The W is the commonly used nickname for Mississippi University for Women, a public university in Columbus, Mississippi.
- 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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1556118a08190a13dc2db3d796b11 |
completed | April 16, 2026, 9:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa947ba3881909c602f2fc60dd6e8 |
completed | May 9, 2026, 9:38 p.m. |
| NEDg | Description generation | batch_69ffa9d6ae788190864b77b787f647eb |
completed | May 9, 2026, 9:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffaa973274819080889e1b9883b8dc |
completed | May 9, 2026, 9:43 p.m. |
Created at: April 10, 2026, 4:50 a.m.