Triple
T4886588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anesidora |
E109453
|
entity |
| Predicate | emphasizesRoleOf |
P29576
|
FINISHED |
| Object | Demeter as giver of gifts |
—
|
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: Demeter as giver of gifts | Statement: [Anesidora, emphasizesRoleOf, Demeter as giver of gifts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: emphasizesRoleOf Context triple: [Anesidora, emphasizesRoleOf, Demeter as giver of gifts]
-
A.
minimizesRoleOf
Indicates that one entity reduces, downplays, or diminishes the importance, influence, or contribution of another entity’s role.
-
B.
acknowledgesRoleOf
Indicates that one entity explicitly recognizes and accepts the position, function, or authority that another entity holds.
-
C.
roleInAddressing
Indicates the specific function or responsibility an entity has in dealing with or responding to a particular issue, situation, or task.
-
D.
positionEmphasized
chosen
Indicates that a particular position, stance, or role is given special prominence or stress relative to others.
-
E.
specialRole
Indicates that an entity holds a distinctive or exceptional function, status, or responsibility in relation to another entity or context.
- 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_69bd440f71348190b99938e59fb7f9a1 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6e03a7fc8190bcac63f4b19e586e |
completed | March 20, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69bd6c2be5e881909f6ec9c3bcde49f3 |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:28 p.m.