Triple
T19859706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jethro Lazenby |
E477223
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Jethro Lazenby |
—
|
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: Jethro Lazenby | Statement: [Jethro Lazenby, name, Jethro Lazenby]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jethro Lazenby Context triple: [Jethro Lazenby, name, Jethro Lazenby]
-
A.
Jethro Lazenby
chosen
Jethro Lazenby was an Australian model, actor, and photographer best known as the son of musician Nick Cave.
-
B.
George Lazenby
George Lazenby is an Australian actor best known for playing James Bond in the 1969 film "On Her Majesty's Secret Service."
-
C.
Lazenby
Lazenby is a small village in North Yorkshire, England, situated within the borough of Redcar and Cleveland.
-
D.
Desmond Llewelyn
Desmond Llewelyn was a Welsh actor best known for portraying Q, the gadget master of MI6, in numerous James Bond films.
-
E.
Nicholas Courtney
Nicholas Courtney was a British actor best known for his long-running role as Brigadier Lethbridge-Stewart in the classic science fiction television series Doctor Who.
- 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_69d8e51e7d948190aedbcd6c30361c39 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6586e8b648190bb650d7f2816dda1 |
completed | April 20, 2026, 4:46 p.m. |
Created at: April 10, 2026, 1:51 p.m.