Triple
T20975856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Georgia Tennant |
E516622
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Bonkers |
—
|
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: Bonkers | Statement: [Georgia Tennant, notableWork, Bonkers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bonkers Context triple: [Georgia Tennant, notableWork, Bonkers]
-
A.
Bonkers
chosen
Bonkers is a British television comedy-drama series in which actor Hugh Skinner played a significant role.
-
B.
Bonkers: My Life in Laughs
Bonkers: My Life in Laughs is a humorous memoir by British comedian and writer Jennifer Saunders, recounting her life and career in comedy.
-
C.
Bad Ape
Bad Ape is a quirky, talkative former zoo chimpanzee who becomes an unlikely ally to Caesar in the film "War for the Planet of the Apes."
-
D.
Bonekickers
Bonekickers is a British television drama series that follows a team of archaeologists whose discoveries uncover dark secrets and modern-day conspiracies.
-
E.
Les Binks
Les Binks is a British drummer best known for his work with heavy metal band Judas Priest during the late 1970s, including on the classic live album "Unleashed in the East."
- 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_69e0b4fee5ac8190875fa9ceba1a5e5e |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fba3df2081908c1db5f8610ba43d |
completed | April 21, 2026, 4:23 a.m. |
Created at: April 16, 2026, 1:46 p.m.