Triple
T5113019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Big Cat Diary |
E115260
|
entity |
| Predicate | featuresPresenter |
P39789
|
FINISHED |
| Object | Simon King |
E493521
|
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: Simon King | Statement: [Big Cat Diary, featuresPresenter, Simon King]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Simon King Context triple: [Big Cat Diary, featuresPresenter, Simon King]
-
A.
Simon King
chosen
Simon King is a British wildlife cameraman and television presenter renowned for his work on nature documentaries and live wildlife programmes.
-
B.
Jeff King
Jeff King is a television producer and writer known for his work on various drama series.
-
C.
Jonathan King
Jonathan King is a film producer best known for his work on the biographical legal drama "On the Basis of Sex," which chronicles Ruth Bader Ginsburg's early career.
-
D.
Jonathan King
Jonathan King is a British singer-songwriter, record producer, and former music industry figure known for his 1960s pop hits and later controversial legal troubles.
-
E.
Alan King
Alan King was an American comedian and character actor known for his sharp observational humor and frequent film and television roles from the 1950s through the 1990s.
- 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_69bd4441d1648190a54a533895041987 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd77ccb19c8190844c628ff7cfcca2 |
completed | March 20, 2026, 4:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bec372e308819082fefe9e2b58370d |
completed | March 21, 2026, 4:12 p.m. |
Created at: March 20, 2026, 1:41 p.m.