Triple
T30438425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Serafima |
E774373
|
entity |
| Predicate | meaningIsRelatedTo |
P171587
|
FINISHED |
| Object | fiery |
—
|
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: fiery | Statement: [Serafima, meaningIsRelatedTo, fiery]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: meaningIsRelatedTo Context triple: [Serafima, meaningIsRelatedTo, fiery]
-
A.
commonMeaning
Indicates that multiple entities share the same or very similar meaning or semantic interpretation.
-
B.
meaningInContext
Indicates that one entity represents or conveys a particular meaning, interpretation, or sense within a specific context or situation.
-
C.
meaningComponent
Indicates that one entity represents a semantic or conceptual component contributing to the overall meaning of another entity.
-
D.
meaningInLanguage
Indicates that an expression or symbol has a particular meaning or interpretation within a specified language.
-
E.
meaningViaAndrzej
Indicates that something’s meaning or interpretation is conveyed, mediated, or understood specifically through Andrzej.
- 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_69f22492d2a88190995ce8745d9becaa |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6a1ac56b88190a820434b65c9fa23 |
completed | May 3, 2026, 1:15 a.m. |
| PD | Predicate disambiguation | batch_69f69fe463248190aa78128abeab1183 |
completed | May 3, 2026, 1:07 a.m. |
| PDg | Predicate description generation | batch_69f6a0e920cc8190a943fdd0594906c5 |
completed | May 3, 2026, 1:12 a.m. |
Created at: April 29, 2026, 8:08 p.m.