Triple
T22889680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Getting On (UK TV series) |
E567700
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
Denise Flixter
Denise Flixter is a fictional character from the British medical comedy-drama television series "Getting On."
|
E1560367
|
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: Denise Flixter | Statement: [Getting On (UK TV series), hasCharacter, Denise Flixter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Denise Flixter Context triple: [Getting On (UK TV series), hasCharacter, Denise Flixter]
-
A.
Jen Flanz
Jen Flanz is a television producer best known for her leadership role on the satirical news program "The Daily Show."
-
B.
Nicole Flender
Nicole Flender is an American real estate broker and former Broadway dancer best known as the mother of actor Timothée Chalamet.
-
C.
Darlanne Fluegel
Darlanne Fluegel was an American actress and model known for her roles in 1980s films and television, including prominent appearances in crime and action genres.
-
D.
Julie Felix
Julie Felix was an American-born British folk singer and guitarist prominent in the 1960s and 1970s UK folk revival, known for her socially conscious songs and television appearances.
-
E.
Kirsten Fudeman
Kirsten Fudeman is a linguist and scholar known for her collaborative work with Mark Aronoff in the field of morphology and the history of linguistic thought.
- 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: Denise Flixter Triple: [Getting On (UK TV series), hasCharacter, Denise Flixter]
Generated description
Denise Flixter is a fictional character from the British medical comedy-drama television series "Getting On."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Denise Flixter Target entity description: Denise Flixter is a fictional character from the British medical comedy-drama television series "Getting On."
-
A.
Jen Flanz
Jen Flanz is a television producer best known for her leadership role on the satirical news program "The Daily Show."
-
B.
Nicole Flender
Nicole Flender is an American real estate broker and former Broadway dancer best known as the mother of actor Timothée Chalamet.
-
C.
Darlanne Fluegel
Darlanne Fluegel was an American actress and model known for her roles in 1980s films and television, including prominent appearances in crime and action genres.
-
D.
Julie Felix
Julie Felix was an American-born British folk singer and guitarist prominent in the 1960s and 1970s UK folk revival, known for her socially conscious songs and television appearances.
-
E.
Kirsten Fudeman
Kirsten Fudeman is a linguist and scholar known for her collaborative work with Mark Aronoff in the field of morphology and the history of linguistic thought.
- 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_69e2458a92ec81908fc1cd5f6407d2ab |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17fc479d48190a8218eceaebd6cc8 |
completed | April 29, 2026, 3:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bb9c03a2481909a2c41b6cdab0363 |
completed | May 19, 2026, 1:15 a.m. |
| NEDg | Description generation | batch_6a0bbb6ca76c8190bde7e1eacb121d23 |
completed | May 19, 2026, 1:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bbc15b59c8190b918d551b1fb3230 |
completed | May 19, 2026, 1:25 a.m. |
Created at: April 17, 2026, 3:40 p.m.