Triple
T4994316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thyatira |
E112206
|
entity |
| Predicate | LydiaOfThyatiraOccupation |
P61370
|
FINISHED |
| Object | seller of purple cloth |
—
|
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: seller of purple cloth | Statement: [Thyatira, LydiaOfThyatiraOccupation, seller of purple cloth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: LydiaOfThyatiraOccupation Context triple: [Thyatira, LydiaOfThyatiraOccupation, seller of purple cloth]
-
A.
mythologicalRole
Indicates the specific function, duty, or status an entity holds within a mythological or legendary context.
-
B.
antagonistOccupation
Indicates the role, job, or professional activity that the antagonist character performs.
-
C.
eraOfMyth
Indicates a temporal relationship where an event, story, or phenomenon belongs to or takes place during a mythological or legendary era.
-
D.
mythologicalQueen
Indicates that one entity is a queen who exists within mythology, legend, or folklore rather than historical reality.
-
E.
roleInTheology
Indicates the specific function, position, or significance an entity holds within a theological system, doctrine, or belief framework.
- 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_69bd4432b32c81909f3b3c6bd10f0653 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7472a1dc8190942f568a81fdd961 |
completed | March 20, 2026, 4:23 p.m. |
| PD | Predicate disambiguation | batch_69bd714aee2481908fb0dd5fa2daf3a1 |
completed | March 20, 2026, 4:09 p.m. |
| PDg | Predicate description generation | batch_69bd74713fc88190916c2b04cd2e677e |
completed | March 20, 2026, 4:23 p.m. |
Created at: March 20, 2026, 1:34 p.m.