Triple
T21624827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Will Attenborough |
E533672
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Attenborough |
—
|
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: Attenborough | Statement: [Will Attenborough, familyName, Attenborough]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Attenborough Context triple: [Will Attenborough, familyName, Attenborough]
-
A.
Attenborough
chosen
Attenborough is a notable English surname most famously associated with the filmmaker and natural historian brothers Richard and David Attenborough.
-
B.
Attenborough
Attenborough is a village in Nottinghamshire, England, known for its nature reserve and proximity to the River Trent.
-
C.
Will Attenborough
Will Attenborough is a British actor known for his work in film, television, and theatre, including a role in the war drama "The Outpost."
-
D.
David Attenborough
David Attenborough is a renowned British broadcaster and natural historian best known for his influential nature documentaries and contributions to public understanding of the natural world.
-
E.
Terence Marsh
Terence Marsh was a British production designer and art director renowned for his work on major films from the 1960s through the 1990s, earning multiple Academy Awards for his contributions.
- 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_69e0c464fba881908d0ff2ac80511ce1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef52121c3c8190b9b4d862ed247c71 |
completed | April 27, 2026, 12:09 p.m. |
Created at: April 16, 2026, 6:34 p.m.