Triple
T22007097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Part-Kneazle |
E543473
|
entity |
| Predicate | canBondWith |
P146250
|
FINISHED |
| Object | trustworthy humans |
—
|
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: trustworthy humans | Statement: [Part-Kneazle, canBondWith, trustworthy humans]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canBondWith Context triple: [Part-Kneazle, canBondWith, trustworthy humans]
-
A.
couplingCapability
Indicates the ability or suitability of one entity to connect, link, or interface with another in a functional or compatible manner.
-
B.
canPairRegistersFor
Indicates that two registers are compatible and allowed to be paired together for a combined or coordinated operation.
-
C.
hasBondType
Indicates the specific kind of bond or connection that exists between two related entities.
-
D.
bondedWith
Indicates that two entities are joined by a strong, enduring connection or attachment, whether emotional, social, or structural.
-
E.
canJoin
Indicates that one entity is permitted or able to become a member or participant in another entity or group.
- 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_69e11e2db934819095556760c7d85e4d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127a18c1081909d15aa7ed4b725e3 |
completed | April 28, 2026, 9:33 p.m. |
| PD | Predicate disambiguation | batch_69e6f62dc9d88190ae387f145f9528de |
completed | April 21, 2026, 3:59 a.m. |
| PDg | Predicate description generation | batch_69e6fad4a540819096cdd5ea08527220 |
completed | April 21, 2026, 4:19 a.m. |
Created at: April 16, 2026, 8:21 p.m.