Triple
T4180733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fatboy Slim |
E88186
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Zoë Ball |
E85897
|
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: Zoë Ball | Statement: [Fatboy Slim, spouse, Zoë Ball]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zoë Ball Context triple: [Fatboy Slim, spouse, Zoë Ball]
-
A.
Zoë Ball
chosen
Zoë Ball is an English television and radio presenter known for hosting shows on BBC Radio 1 and BBC Radio 2, as well as various British television programs.
-
B.
Emily Maitlis
Emily Maitlis is a prominent British journalist and broadcaster best known as a former lead presenter of BBC Newsnight and co-host of the podcast "The News Agents."
-
C.
Sue Lawley
Sue Lawley is a British broadcaster and journalist best known for her long-running role as host of the BBC radio programme Desert Island Discs.
-
D.
Tess Daly
Tess Daly is a British television presenter best known for co-hosting the BBC’s popular dance competition show Strictly Come Dancing.
-
E.
Caroline Waterlow
Caroline Waterlow is an American film and television producer best known for her work on acclaimed documentaries, including the Oscar-winning series "O.J.: Made in America."
- 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_69aed9477e8c81908bcb862d2db55b1d |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af0304702c8190899cbb0e3e41b987 |
completed | March 9, 2026, 5:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b589f89f4481909f95d3ca915bac18 |
completed | March 14, 2026, 4:16 p.m. |
Created at: March 9, 2026, 3:45 p.m.