Triple
T6954028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaylon |
E161195
|
entity |
| Predicate | typicalAlignment |
P74262
|
FINISHED |
| Object | hostile to biological life |
—
|
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: hostile to biological life | Statement: [Kaylon, typicalAlignment, hostile to biological life]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalAlignment Context triple: [Kaylon, typicalAlignment, hostile to biological life]
-
A.
typicalIn
Indicates that something commonly occurs, appears, or is found within a given context, category, or environment.
-
B.
typicalConsistency
Indicates that one entity characteristically maintains a regular or expected level of consistency in relation to another entity or context.
-
C.
typicalBase
Indicates that one entity serves as the standard or most representative base or foundation for another entity in typical or common cases.
-
D.
typicalSymbol
Indicates that something serves as a characteristic or commonly recognized symbol representing something else.
-
E.
typicalGroup
Indicates that the subject belongs to or represents a standard, characteristic, or commonly occurring group associated with the object.
- F. None of above. chosen
Provenance (4 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_69c68852a9a0819097797e31d492e273 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dacca12481908942ba793a104cc3 |
completed | March 27, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69c6d7bf0a7c8190b5ed4aca22ba9b97 |
completed | March 27, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69c6dacb524c81909aade2282a4c0c01 |
completed | March 27, 2026, 7:30 p.m. |
Created at: March 27, 2026, 2:29 p.m.