Triple
T11697123
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ama Dablam |
E278024
|
entity |
| Predicate | firstAscentBy |
P1321
|
FINISHED |
| Object | Wally Romanes |
E829102
|
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: Wally Romanes | Statement: [Ama Dablam, firstAscentBy, Wally Romanes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wally Romanes Context triple: [Ama Dablam, firstAscentBy, Wally Romanes]
-
A.
Wally Romanes
chosen
Wally Romanes is a mountaineer known for being part of the team that made the first ascent of the Himalayan peak Thamserku.
-
B.
Wally Dalton
Wally Dalton is an actor known for his role in the independent drama film "Wendy and Lucy."
-
C.
Wally Fay
Wally Fay is a supporting character in the 1945 film noir "Mildred Pierce," known as a somewhat sleazy businessman entangled in the story’s web of betrayal and murder.
-
D.
Wally Walker
Wally Walker is a former American professional basketball player best known for his role as a key contributor to the Seattle SuperSonics during their late-1970s championship run and later as an NBA executive.
-
E.
Johnny Worricker
Johnny Worricker is a seasoned, quietly principled MI5 intelligence officer whose moral dilemmas drive the British political thriller film "Page Eight."
- 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_69d6aafe02d881909900d54ad7d4af84 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a47cef60819088b7cc3a3a711e4c |
completed | April 10, 2026, 7:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef1471cba88190a7abdcbf4f579ea9 |
completed | April 27, 2026, 7:46 a.m. |
Created at: April 8, 2026, 9:40 p.m.