Triple
T12902780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Tower of Paine |
E308650
|
entity |
| Predicate | firstAscentBy |
P1321
|
FINISHED |
| Object | Don Whillans |
E1099737
|
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: Don Whillans | Statement: [Central Tower of Paine, firstAscentBy, Don Whillans]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Don Whillans Context triple: [Central Tower of Paine, firstAscentBy, Don Whillans]
-
A.
Don Whillans
chosen
Don Whillans was a renowned British mountaineer and rock climber known for his bold ascents in the Alps and Himalayas during the mid-20th century.
-
B.
Dan Woolsey
Dan Woolsey is an entrepreneur and media professional best known as a founder of the African American–focused news and entertainment platform TheGrio.
-
C.
Douglas Wick
Douglas Wick is an American film producer known for acclaimed movies such as "Gladiator," "Working Girl," and "Memoirs of a Geisha."
-
D.
Frank Wilcox
Frank Wilcox was an American character actor known for his numerous supporting roles in film and television from the 1930s through the 1960s.
-
E.
Ward McAllister
Ward McAllister was a prominent 19th-century New York social arbiter best known for codifying the rules of high society and helping define the elite circle known as "The Four Hundred."
- 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_69d7bdf7c1f0819098102569a8d8cbf5 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971820e008190bf8bc7c392c8bcbb |
completed | April 10, 2026, 9:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6d6d4bd8819087902472e77e0d38 |
completed | May 8, 2026, 4:58 a.m. |
Created at: April 9, 2026, 5:40 p.m.