Triple
T2582481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Broad Peak |
E57123
|
entity |
| Predicate | firstWinterAscentBy |
P30829
|
FINISHED |
| Object |
Adam Bielecki
Adam Bielecki is a Polish high-altitude mountaineer renowned for pioneering bold winter ascents in the Himalayas and Karakoram.
|
E280244
|
NE FINISHED |
How this triple was built (4 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: Adam Bielecki | Statement: [Broad Peak, firstWinterAscentBy, Adam Bielecki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adam Bielecki Context triple: [Broad Peak, firstWinterAscentBy, Adam Bielecki]
-
A.
Andrew Goczkowski
Andrew Goczkowski is an American local government leader serving as the mayor of Des Plaines, Illinois.
-
B.
Adam Tarnowski
Adam Tarnowski was a Polish diplomat who served as foreign minister for the Polish government-in-exile during World War II.
-
C.
Stefan Osiecki
Stefan Osiecki was a Polish mountaineer known for pioneering ascents in remote regions, including major peaks in Patagonia.
-
D.
John Wolyniec
John Wolyniec is a former American professional soccer forward best known for his time with the New York/New Jersey MetroStars and New York Red Bulls in Major League Soccer.
-
E.
Jonathan Pytko
Jonathan Pytko is a cinematographer best known for his work on the Pixar animated film "Turning Red."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Adam Bielecki Triple: [Broad Peak, firstWinterAscentBy, Adam Bielecki]
Generated description
Adam Bielecki is a Polish high-altitude mountaineer renowned for pioneering bold winter ascents in the Himalayas and Karakoram.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Adam Bielecki Target entity description: Adam Bielecki is a Polish high-altitude mountaineer renowned for pioneering bold winter ascents in the Himalayas and Karakoram.
-
A.
Andrew Goczkowski
Andrew Goczkowski is an American local government leader serving as the mayor of Des Plaines, Illinois.
-
B.
Adam Tarnowski
Adam Tarnowski was a Polish diplomat who served as foreign minister for the Polish government-in-exile during World War II.
-
C.
Stefan Osiecki
Stefan Osiecki was a Polish mountaineer known for pioneering ascents in remote regions, including major peaks in Patagonia.
-
D.
John Wolyniec
John Wolyniec is a former American professional soccer forward best known for his time with the New York/New Jersey MetroStars and New York Red Bulls in Major League Soccer.
-
E.
Jonathan Pytko
Jonathan Pytko is a cinematographer best known for his work on the Pixar animated film "Turning Red."
- F. None of above. chosen
Provenance (5 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_69ab4a4dca6481908c301f8e317396e7 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd3c9d0548190b29743ac1d7837ff |
completed | March 7, 2026, 7:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af657cc2b08190a9055d6da7744851 |
completed | March 10, 2026, 12:27 a.m. |
| NEDg | Description generation | batch_69af69a66078819084f341b052860751 |
completed | March 10, 2026, 12:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af6a071f1c8190b2a707a0c98ddc94 |
completed | March 10, 2026, 12:47 a.m. |
Created at: March 6, 2026, 9:49 p.m.