Triple
T27823934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maraner Danka Baje |
E702896
|
entity |
| Predicate | introspective |
P141848
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Maraner Danka Baje, introspective, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: introspective Context triple: [Maraner Danka Baje, introspective, true]
-
A.
reflects
Indicates that one entity (often a surface, medium, or representation) throws back, mirrors, or otherwise shows an image, property, or state of another entity.
-
B.
isConceptuallyReflective
Indicates that one entity mirrors, represents, or echoes the ideas, structure, or meaning of another at a conceptual level.
-
C.
isContemplative
chosen
Indicates that an entity is engaged in deep, reflective thought or meditation about something.
-
D.
hasIntrospectiveTone
Indicates that the subject expresses thoughts, feelings, or experiences in a reflective, inward-looking manner.
-
E.
isIntroverted
Indicates that an entity tends to be reserved, inward-focused, and gains energy from solitary activities rather than social interaction.
- 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_69ef840ad1e88190b5bff2d1ddec8700 |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f74c70fd248190a9d5543afcb08211 |
completed | May 3, 2026, 1:24 p.m. |
| PD | Predicate disambiguation | batch_69f7478e3b548190a51d5d436e2bb036 |
completed | May 3, 2026, 1:03 p.m. |
Created at: April 27, 2026, 5:50 p.m.