Triple
T12996496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aron Ralston |
E322047
|
entity |
| Predicate | methodOfSelfRescue |
P98008
|
FINISHED |
| Object | self-amputation with a dull multi-tool |
—
|
LITERAL 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: self-amputation with a dull multi-tool | Statement: [Aron Ralston, methodOfSelfRescue, self-amputation with a dull multi-tool]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: methodOfSelfRescue Context triple: [Aron Ralston, methodOfSelfRescue, self-amputation with a dull multi-tool]
-
A.
usedMeansToRescue
Indicates that one entity employed a particular method, tool, or means in order to carry out a rescue.
-
B.
typeOfRescue
chosen
Indicates the specific method or category of rescue operation performed in a rescue event.
-
C.
methodOfResistance
Indicates a way or technique by which resistance is carried out or expressed.
-
D.
rescuesBodyOf
Indicates that one entity retrieves and brings to safety the body of another entity from a dangerous or inaccessible situation.
-
E.
helpsSurvive
Indicates that one entity provides support or advantage that increases another entity’s chances of survival.
- F. None of above.
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_69d8076479b8819090afce3591939cdf |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e7980288190a9fe629a8cc76a52 |
completed | April 10, 2026, 10:49 p.m. |
| PD | Predicate disambiguation | batch_69d97dc153a081909d13a694993f074a |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 8:45 p.m.