Triple
T21646729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Balfrin |
E534238
|
entity |
| Predicate | firstAscentBy |
P1321
|
FINISHED |
| Object | Peter Perren |
—
|
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: Peter Perren | Statement: [Balfrin, firstAscentBy, Peter Perren]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Perren Context triple: [Balfrin, firstAscentBy, Peter Perren]
-
A.
Peter Perren
chosen
Peter Perren was a mountaineer known for making the first recorded ascent of the Swiss Alpine peak Alphubel.
-
B.
Stephen Perry
Stephen Perry is an actor known for appearing in the 1961 film adaptation of Lorraine Hansberry’s play "A Raisin in the Sun."
-
C.
Paul Sidwell
Paul Sidwell is a linguist specializing in the historical and comparative study of Austroasiatic languages, particularly known for his reconstruction work on the Palaungic branch.
-
D.
Tim Peper
Tim Peper is an American actor known for his roles in television comedies and dramas, including the sitcom "Selfie."
-
E.
David Parer
David Parer is an Australian wildlife filmmaker and cinematographer known for his award-winning nature documentaries, particularly for the ABC and the BBC.
- 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_69e0c466aec88190ba39c7543dbc8ba2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef591194dc8190a57b28eaddeceff5 |
completed | April 27, 2026, 12:39 p.m. |
Created at: April 16, 2026, 6:35 p.m.