Triple
T4028687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Now Show |
E83653
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object |
Athena Kugblenu
Athena Kugblenu is a British stand-up comedian and writer known for her sharp, socially conscious humour and regular appearances on BBC Radio 4.
|
E409449
|
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: Athena Kugblenu | Statement: [The Now Show, hasCastMember, Athena Kugblenu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Athena Kugblenu Context triple: [The Now Show, hasCastMember, Athena Kugblenu]
-
A.
Hera Gamelia
Hera Gamelia is an aspect of the Greek goddess Hera worshipped as the protector of marriage and the wedding rite.
-
B.
Athene Seyler
Athene Seyler was a distinguished English character actress known for her long stage and film career, often portraying eccentric or comedic older women.
-
C.
Athénaïs
Athénaïs was the familiar name of Madame de Montespan, the influential chief mistress of King Louis XIV of France and a prominent figure at the 17th-century French court.
-
D.
Demitra
Demitra is a Slovak surname most notably associated with the late professional ice hockey star Pavol Demitra.
-
E.
Timothea
Timothea is a feminine given name derived from the name Timothy, often interpreted to mean "honoring God."
- 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: Athena Kugblenu Triple: [The Now Show, hasCastMember, Athena Kugblenu]
Generated description
Athena Kugblenu is a British stand-up comedian and writer known for her sharp, socially conscious humour and regular appearances on BBC Radio 4.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Athena Kugblenu Target entity description: Athena Kugblenu is a British stand-up comedian and writer known for her sharp, socially conscious humour and regular appearances on BBC Radio 4.
-
A.
Hera Gamelia
Hera Gamelia is an aspect of the Greek goddess Hera worshipped as the protector of marriage and the wedding rite.
-
B.
Athene Seyler
Athene Seyler was a distinguished English character actress known for her long stage and film career, often portraying eccentric or comedic older women.
-
C.
Athénaïs
Athénaïs was the familiar name of Madame de Montespan, the influential chief mistress of King Louis XIV of France and a prominent figure at the 17th-century French court.
-
D.
Demitra
Demitra is a Slovak surname most notably associated with the late professional ice hockey star Pavol Demitra.
-
E.
Timothea
Timothea is a feminine given name derived from the name Timothy, often interpreted to mean "honoring God."
- 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_69aed92e29ac819080f7a98b594fec05 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefaf066b08190afbb4a18ddc8d67e |
completed | March 9, 2026, 4:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b556358f148190be7008092d0023af |
completed | March 14, 2026, 12:36 p.m. |
| NEDg | Description generation | batch_69b55a5b292481908723530461bad562 |
completed | March 14, 2026, 12:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b55ae09ac48190a014aaf5b309e029 |
completed | March 14, 2026, 12:56 p.m. |
Created at: March 9, 2026, 3:36 p.m.