Triple
T19082651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Binah |
E467067
|
entity |
| Predicate | relationshipToKeter |
P134294
|
FINISHED |
| Object | emanates from Keter |
—
|
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: emanates from Keter | Statement: [Binah, relationshipToKeter, emanates from Keter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToKeter Context triple: [Binah, relationshipToKeter, emanates from Keter]
-
A.
relationshipWithKaturian
Indicates that one entity has some form of personal, emotional, or social relationship with the individual named Katurian.
-
B.
relationshipToCreature
Indicates a specified type of relational connection that one entity has toward a particular creature.
-
C.
relationshipWithKong
Indicates that one entity has a specified type of relationship or association with the entity referred to as Kong.
-
D.
relationshipToKenny
Indicates the specific familial, social, or interpersonal connection that one entity has to Kenny.
-
E.
relationshipToKellers
Indicates the type of personal or familial relationship an entity has with the Kellers.
- 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_69d8dd04f4488190b1121cc53ef2bfd6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e2eab58c8190a987c88d633c92ec |
completed | April 20, 2026, 8:25 a.m. |
| PD | Predicate disambiguation | batch_69e4b9a604308190a3235184f9f2c056 |
completed | April 19, 2026, 11:16 a.m. |
| PDg | Predicate description generation | batch_69e4bfe8a06081909fd5c28a33e9f218 |
completed | April 19, 2026, 11:43 a.m. |
Created at: April 10, 2026, 12:04 p.m.