Triple
T9246639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ruth Jones |
E222211
|
entity |
| Predicate | starredIn |
P1668
|
FINISHED |
| Object | Fat Friends |
E247514
|
NE FINISHED |
How this triple was built (2 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: Fat Friends | Statement: [Ruth Jones, starredIn, Fat Friends]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fat Friends Context triple: [Ruth Jones, starredIn, Fat Friends]
-
A.
Fat Friends
chosen
Fat Friends is a British television drama-comedy series that follows the lives, relationships, and body-image struggles of members of a slimming club in Leeds.
-
B.
Fat rascal
Fat rascal is a rich, fruity, scone-like teatime bake from Yorkshire, often studded with currants and cherries and traditionally served warm with butter.
-
C.
The Fat One
The Fat One is the English translation of the Italian nickname "La Grassa," often used to refer to the city of Bologna for its rich culinary tradition.
-
D.
Fatlip
Fatlip is an American rapper best known as a former member of the influential alternative hip hop group The Pharcyde.
-
E.
Dear Fatty
Dear Fatty is the bestselling memoir by British comedian and actress Dawn French, in which she recounts her life and career through a series of humorous and heartfelt letters.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca841d2b18819089f9faf5b2c2aec0 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd03f181e081908d9ff7dc6f86420e |
completed | April 1, 2026, 11:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d077f79cfc81908bae290aa25cf2a1 |
completed | April 4, 2026, 2:31 a.m. |
Created at: March 30, 2026, 7:30 p.m.