Triple
T25986786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Murf |
E646223
|
entity |
| Predicate | survivalAbility |
P21744
|
FINISHED |
| Object | resistant to physical damage |
—
|
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: resistant to physical damage | Statement: [Murf, survivalAbility, resistant to physical damage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: survivalAbility Context triple: [Murf, survivalAbility, resistant to physical damage]
-
A.
survivingUse
Indicates that one entity continues to make use of another entity or resource after an event that could have ended or invalidated that use.
-
B.
survivalTheme
Indicates that the relationship or situation centers on the struggle to stay alive or endure extreme hardship.
-
C.
survivesIn
chosen
Indicates that an entity remains alive, functional, or intact within a specified environment, condition, or context.
-
D.
survivesWith
Indicates that one entity continues to live, endure, or remain viable in the presence, context, or company of another entity.
-
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_69e77e881fc08190ba1c8dc7e2a07f97 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f605446ca48190907baef523f13ccf |
completed | May 2, 2026, 2:08 p.m. |
| PD | Predicate disambiguation | batch_69f4a10480748190a2e67bd399fc435d |
completed | May 1, 2026, 12:48 p.m. |
Created at: April 22, 2026, 8:55 a.m.