Triple
T3552062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Punta Gnifetti |
E75132
|
entity |
| Predicate | firstAscentBy |
P1321
|
FINISHED |
| Object | B. Pellissier |
E34704
|
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: B. Pellissier | Statement: [Punta Gnifetti, firstAscentBy, B. Pellissier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: B. Pellissier Context triple: [Punta Gnifetti, firstAscentBy, B. Pellissier]
-
A.
Peter Biziou
Peter Biziou is a British cinematographer known for his work on films such as "Bugsy Malone" and the Oscar-winning "Mississippi Burning."
-
B.
Bertrand Fagalde
Bertrand Fagalde was a French admiral best known for his leadership of French naval forces during the Battle of Dunkirk in World War II.
-
C.
Pierre Azaria
Pierre Azaria was a French entrepreneur best known for founding the telecommunications company Alcatel.
-
D.
Aimable Pélissier
chosen
Aimable Pélissier was a 19th-century French marshal and military commander best known for his leadership in key campaigns of the Crimean War.
-
E.
Stéphane Préfontaine
Stéphane Préfontaine is a Canadian former middle-distance runner best known for serving as one of the final torchbearers who lit the Olympic cauldron at the 1976 Montreal Summer Olympics.
- 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_69ad85d33c6c819081d5ac1df13b5680 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc05256f081908b8d6a5df917e679 |
completed | March 8, 2026, 6:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b38bec437c8190b35ca77dc19d441d |
completed | March 13, 2026, 4 a.m. |
Created at: March 8, 2026, 3:20 p.m.