Triple
T19863317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meleager of Gadara |
E477323
|
entity |
| Predicate | anthologyMetaphor |
P114548
|
FINISHED |
| Object | flowers as poets in a garland |
—
|
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: flowers as poets in a garland | Statement: [Meleager of Gadara, anthologyMetaphor, flowers as poets in a garland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: anthologyMetaphor Context triple: [Meleager of Gadara, anthologyMetaphor, flowers as poets in a garland]
-
A.
titleMetaphor
Indicates that the title of a work functions metaphorically, expressing a figurative or symbolic meaning rather than a literal one.
-
B.
hasMetaphoricalContent
chosen
Indicates that something contains or expresses meaning through metaphorical, rather than purely literal, content.
-
C.
hasMetaphoricalForm
Indicates that one entity is expressed, represented, or understood through a metaphorical form or figurative expression involving another entity.
-
D.
literaryMuseOf
Indicates a relationship in which one entity serves as the creative inspiration or muse for another entity’s literary work.
-
E.
keyMetaphor
Indicates that one entity functions as a central or primary metaphor used to conceptualize, explain, or structure understanding of another entity.
- 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_69d8e51e7d948190aedbcd6c30361c39 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6589c4c0081908cd51ff75441e7ac |
completed | April 20, 2026, 4:47 p.m. |
| PD | Predicate disambiguation | batch_69e537e21d2881909b1be82f02b99d40 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:51 p.m.