Triple
T7196615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pico de Aneto |
E168630
|
entity |
| Predicate | firstAscentBy |
P1321
|
FINISHED |
| Object | Jean Sors |
E282618
|
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: Jean Sors | Statement: [Pico de Aneto, firstAscentBy, Jean Sors]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jean Sors Context triple: [Pico de Aneto, firstAscentBy, Jean Sors]
-
A.
Jean Sors
chosen
Jean Sors was one of the climbers credited with making the first recorded ascent of Aneto, the highest peak in the Pyrenees.
-
B.
David Sardy
David Sardy is an American record producer, composer, and musician known for his work with rock bands and on major film soundtracks.
-
C.
Leslie Urdang
Leslie Urdang is an American theater and film producer known for co-founding New York's Off-Broadway theater company the New Group and producing numerous acclaimed stage and screen projects.
-
D.
Michele Lerner
Michele Lerner is known primarily as the third wife of American lyricist and playwright Alan Jay Lerner.
-
E.
Jean Tiberi
Jean Tiberi is a French politician from the Gaullist right who served as mayor of Paris in the 1990s and early 2000s.
- 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_69c68a5376748190bb500f03df86e93e |
completed | March 27, 2026, 1:46 p.m. |
| NER | Named-entity recognition | batch_69c6e928ecdc8190a7f3feaf6d28781b |
completed | March 27, 2026, 8:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7bfa14e1c8190968b207bef0c96a9 |
completed | March 28, 2026, 11:46 a.m. |
Created at: March 27, 2026, 2:51 p.m.