Triple
T14300728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Verity Lambert |
E354554
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object | Verity Ann Lambert |
E354554
|
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: Verity Ann Lambert | Statement: [Verity Lambert, birthName, Verity Ann Lambert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Verity Ann Lambert Context triple: [Verity Lambert, birthName, Verity Ann Lambert]
-
A.
Verity Lambert
chosen
Verity Lambert was a pioneering British television producer best known as the founding producer of Doctor Who and one of the first prominent female producers at the BBC.
-
B.
Lucy Lyster
Lucy Lyster is a British producer and the wife of comedian and actor Harry Enfield.
-
C.
Clarissa Luard
Clarissa Luard was a British literary editor and arts administrator known for her work supporting contemporary writers and for her marriage to novelist Salman Rushdie.
-
D.
Belinda Bromilow
Belinda Bromilow is an Australian actress known for her work in television, film, and theatre, including a prominent role in the satirical historical series "The Great."
-
E.
Emily Lloyd
Emily Lloyd is a British actress best known for her acclaimed breakthrough role in the 1987 film "Wish You Were Here."
- 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_69d8278e17088190b328c5a9d4be74ff |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de717e246c819083e67ac2b3b77881 |
completed | April 14, 2026, 4:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd8aa2b7908190831e6c07abcc091d |
completed | May 8, 2026, 7:02 a.m. |
Created at: April 10, 2026, 1:11 a.m.