Triple
T6885537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monte Leone |
E158907
|
entity |
| Predicate | firstAscentBy |
P1321
|
FINISHED |
| Object | F. F. Tuckett |
E368148
|
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: F. F. Tuckett | Statement: [Monte Leone, firstAscentBy, F. F. Tuckett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: F. F. Tuckett Context triple: [Monte Leone, firstAscentBy, F. F. Tuckett]
-
A.
F. F. Tuckett
chosen
F. F. Tuckett was a prominent 19th-century British mountaineer known for pioneering ascents and explorations in the Alps.
-
B.
Edward Tuck
Edward Tuck was an American banker and philanthropist best known for endowing Dartmouth College’s graduate business school, which was named the Tuck School of Business in his honor.
-
C.
Ian Fletcher
Ian Fletcher is a fictional British civil servant and central character in the BBC mockumentary series "Twenty Twelve" and its spin-off "W1A."
-
D.
Red Whittaker
Red Whittaker is a pioneering American roboticist known for his groundbreaking work in field robotics, autonomous vehicles, and planetary exploration systems.
-
E.
John Ferriter
John Ferriter was an American television producer and talent agent known for his influential work in late-night TV and reality programming.
- 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_69c688342f6c8190ad7eea6ba262db99 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d90bc32c8190baf5bf785146f3e8 |
completed | March 27, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c742dc8d608190b2a8e9c1f46e1420 |
completed | March 28, 2026, 2:54 a.m. |
Created at: March 27, 2026, 2:23 p.m.