Triple
T34021883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trishala Devi |
E872401
|
entity |
| Predicate | numberOfAuspiciousDreams |
P60569
|
FINISHED |
| Object | 14 |
—
|
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: 14 | Statement: [Trishala Devi, numberOfAuspiciousDreams, 14]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfAuspiciousDreams Context triple: [Trishala Devi, numberOfAuspiciousDreams, 14]
-
A.
hasPropheticDreams
Indicates that an entity experiences dreams that are believed to foretell or reveal future events.
-
B.
numberOfVisions
chosen
Indicates the quantity of visions experienced or associated with an entity.
-
C.
dreamsSignified
Indicates that one entity’s dreams symbolically represent, foreshadow, or convey information about another entity or situation.
-
D.
hasDreamFrom
Indicates that an entity experiences or receives a dream that originates from another entity or source.
-
E.
hasDreamMotif
Indicates that something (such as a work, scene, or element) features or is characterized by a recurring dream-related theme or imagery.
- 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_69f349a19ad88190ab586f010c804a8f |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037c8ae0248190b7e2ce4bf852c22d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379f963908190846d232f386fd98f |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:51 a.m.