Triple
T4573198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schreckhorn |
E123083
|
entity |
| Predicate | firstAscendedBy |
P1321
|
FINISHED |
| Object |
Peter Michel
Peter Michel was a mountaineer known for being among the first to successfully climb the Swiss peak Schreckhorn.
|
E454562
|
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: Peter Michel | Statement: [Schreckhorn, firstAscendedBy, Peter Michel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Michel Context triple: [Schreckhorn, firstAscendedBy, Peter Michel]
-
A.
Peter Simon
Peter Simon is an American comedian and television personality best known as the son of publishing executive Richard L. Simon.
-
B.
Peter Ott
Peter Ott was an Austrian general who played a significant command role in the Napoleonic Wars, notably during the Italian campaigns.
-
C.
Paul Piana
Paul Piana is an American rock climber best known for pioneering the first free ascent of El Capitan’s Salathé Wall in Yosemite, a landmark achievement in big-wall free climbing.
-
D.
Peter Lalish
Peter Lalish is a musician best known as a guitarist and member of the indie rock band Lucius.
-
E.
Peter Honess
Peter Honess is a British film editor best known for his work on major Hollywood films, including the acclaimed neo-noir crime drama "L.A. Confidential."
- 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: Peter Michel Triple: [Schreckhorn, firstAscendedBy, Peter Michel]
Generated description
Peter Michel was a mountaineer known for being among the first to successfully climb the Swiss peak Schreckhorn.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Peter Michel Target entity description: Peter Michel was a mountaineer known for being among the first to successfully climb the Swiss peak Schreckhorn.
-
A.
Peter Simon
Peter Simon is an American comedian and television personality best known as the son of publishing executive Richard L. Simon.
-
B.
Peter Ott
Peter Ott was an Austrian general who played a significant command role in the Napoleonic Wars, notably during the Italian campaigns.
-
C.
Paul Piana
Paul Piana is an American rock climber best known for pioneering the first free ascent of El Capitan’s Salathé Wall in Yosemite, a landmark achievement in big-wall free climbing.
-
D.
Peter Lalish
Peter Lalish is a musician best known as a guitarist and member of the indie rock band Lucius.
-
E.
Peter Honess
Peter Honess is a British film editor best known for his work on major Hollywood films, including the acclaimed neo-noir crime drama "L.A. Confidential."
- 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_69bd46466c7081909d07f36be2d08804 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd58c89a5c81909a78bf0ac64777ad |
completed | March 20, 2026, 2:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bde08756548190bb8433854c3efe01 |
completed | March 21, 2026, 12:04 a.m. |
| NEDg | Description generation | batch_69bde129ec748190af03e37c8d47ab3c |
completed | March 21, 2026, 12:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bde1c01e7081909eb968b5603ee2b0 |
completed | March 21, 2026, 12:09 a.m. |
Created at: March 20, 2026, 1:10 p.m.