Triple
T17284211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huascarán |
E419608
|
entity |
| Predicate | firstAscentBy |
P1321
|
FINISHED |
| Object | Laurent Queval |
E1260533
|
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: Laurent Queval | Statement: [Huascarán, firstAscentBy, Laurent Queval]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laurent Queval Context triple: [Huascarán, firstAscentBy, Laurent Queval]
-
A.
Laurent Queval
chosen
Laurent Queval is a mountaineer known for being among the climbers who achieved the first recorded ascent of Peru’s Huascarán, the highest peak in the Cordillera Blanca.
-
B.
Claude Rich
Claude Rich was a distinguished French actor known for his versatile performances in film, theatre, and television from the mid-20th century onward.
-
C.
Claude Tarnaud
Claude Tarnaud was a French writer and poet associated with the Surrealist movement in Paris.
-
D.
Alain Glavieux
Alain Glavieux was a French engineer and information theorist best known as a co-inventor of turbo codes, a breakthrough in error-correcting coding that revolutionized digital communications.
-
E.
André Remondet
André Remondet was a French architect known for designing prominent diplomatic and institutional buildings, including the French Embassy in Washington, D.C.
- 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_69d886da626481908a14ce7830329a35 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e4332bd324819080795152293d6d43 |
completed | April 19, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0180d29f4881908694f0182930d716 |
completed | May 11, 2026, 7:10 a.m. |
Created at: April 10, 2026, 5:40 a.m.