Triple
T23100889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cold and the Crackle |
E576021
|
entity |
| Predicate | hasContributor |
P4244
|
FINISHED |
| Object | Kylie Tennant |
—
|
NE NERFINISHED |
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: Kylie Tennant | Statement: [Cold and the Crackle, hasContributor, Kylie Tennant]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kylie Tennant Context triple: [Cold and the Crackle, hasContributor, Kylie Tennant]
-
A.
Kylie Tennant
chosen
Kylie Tennant was an Australian novelist and playwright known for her socially conscious depictions of working-class life during the Great Depression.
-
B.
Emma Tennant
Emma Tennant was a British novelist known for her experimental, often fantastical fiction and for reimagining classic literary works.
-
C.
Leanne Welham
Leanne Welham is a British film and television director known for her work on acclaimed dramas including the series "The Trial of Christine Keeler."
-
D.
Hayley Roberts
Hayley Roberts is a Welsh former shop assistant and model best known for being married to actor and singer David Hasselhoff.
-
E.
Jennifer Ann Agutter
Jennifer Ann Agutter is an English actress best known for her roles in films such as "The Railway Children," "Walkabout," and "An American Werewolf in London," as well as in the TV series "Call the Midwife."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245c060b48190a9bd61a47a16db17 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18de8c5b4819095cddf989cade60d |
completed | April 29, 2026, 4:49 a.m. |
Created at: April 17, 2026, 3:58 p.m.