Triple
T31943844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | V_ts |
E815593
|
entity |
| Predicate | symbolUsedInLiterature |
P136618
|
FINISHED |
| Object | V_{ts} |
—
|
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: V_{ts} | Statement: [V_ts, symbolUsedInLiterature, V_{ts}]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: symbolUsedInLiterature
Context triple: [V_ts, symbolUsedInLiterature, V_{ts}]
-
A.
nameInLiterature
Indicates that a particular name is used or appears for an entity within a literary work or context.
-
B.
symbolInFiction
Indicates that something functions as a symbolic element within a fictional work or narrative.
-
C.
functionInLiterature
Indicates that one entity serves a particular narrative, rhetorical, or thematic role within a literary work in relation to another entity.
-
D.
literaryUse
chosen
Indicates that something is employed or referenced within a literary context, such as in a written work, style, or technique.
-
E.
hasLiterarySignificance
Indicates that something holds notable importance, influence, or value within the realm of literature or literary studies.
- 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_69f348f42d188190a33fc8d20ec50517 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c8159edc8190b1c87015e0c820e8 |
completed | May 3, 2026, 3:59 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f42fbc8190a06eb1044c9e6094 |
completed | May 3, 2026, 3:41 a.m. |
Created at: May 1, 2026, 12:06 a.m.