Triple
T26272374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ketu |
E660457
|
entity |
| Predicate | alsoConsidered |
P160188
|
FINISHED |
| Object | spiritual benefic |
—
|
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: spiritual benefic | Statement: [Ketu, alsoConsidered, spiritual benefic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alsoConsidered Context triple: [Ketu, alsoConsidered, spiritual benefic]
-
A.
consideredIn
Indicates that one entity is taken into account, examined, or included as a factor within the context, scope, or decision framework of another entity.
-
B.
considered
Indicates that one entity regards, judges, or thinks about another entity in a particular way or context.
-
C.
couldConsider
Indicates that one entity has the potential or option to take another entity into account when making a decision, judgment, or evaluation.
-
D.
nowConsidered
Indicates that something has come to be regarded or classified in a particular way at the present time, possibly differing from how it was regarded before.
-
E.
alsoIn
Indicates that an entity participates in or belongs to an additional context, group, or location alongside another already specified one.
- 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_69ee812960d081909cff6085cc9fa3a6 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f60e31f5f88190a1e6354a19f33a11 |
completed | May 2, 2026, 2:46 p.m. |
| PD | Predicate disambiguation | batch_69f5f7ff548c8190a23e98c5e66e0bc7 |
completed | May 2, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69f5ffc6268c8190b63f6360ebadab73 |
completed | May 2, 2026, 1:44 p.m. |
Created at: April 26, 2026, 9:51 p.m.