Triple
T25877138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Death Angels |
E651935
|
entity |
| Predicate | perceptionStrength |
P2981
|
FINISHED |
| Object | can detect very faint sounds |
—
|
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: can detect very faint sounds | Statement: [Death Angels, perceptionStrength, can detect very faint sounds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: perceptionStrength Context triple: [Death Angels, perceptionStrength, can detect very faint sounds]
-
A.
perceivedPower
Indicates a relationship where one entity’s level of power, influence, or authority is judged or experienced as such by another entity, regardless of the actual power held.
-
B.
perceivedAttribute
Indicates that one entity recognizes, interprets, or assigns a particular attribute or quality to another entity.
-
C.
estimatedStrength
chosen
Indicates that a value represents an approximate or inferred level, magnitude, or intensity of something rather than a precisely measured strength.
-
D.
hasPerception
Indicates that one entity is aware of, senses, or recognizes another entity or phenomenon.
-
E.
influencedPerceptionOf
Indicates that one entity has affected, shaped, or altered how another entity is perceived or understood.
- 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_69e7ab3ad9d88190841ddcb93ab02e96 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f61f12b0f08190bc4a16907941864c |
completed | May 2, 2026, 3:58 p.m. |
| PD | Predicate disambiguation | batch_69f61b37a5648190b10d33ae205ccfee |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 22, 2026, 8:13 a.m.