Triple
T16843600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roy Grace series |
E409474
|
entity |
| Predicate | literarySettingPeriod |
P56599
|
FINISHED |
| Object | contemporary era |
—
|
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: contemporary era | Statement: [Roy Grace series, literarySettingPeriod, contemporary era]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: literarySettingPeriod Context triple: [Roy Grace series, literarySettingPeriod, contemporary era]
-
A.
literaryPeriodOfWork
chosen
Indicates the literary period or movement to which a particular work belongs.
-
B.
hasLiterarySetting
Indicates that a literary work is set in, or primarily takes place within, a particular location or environment.
-
C.
literaryMovement
Indicates the artistic or intellectual movement in literature with which a work, author, or text is associated or to which it belongs.
-
D.
literaryMovementReception
Indicates how a particular literary movement has been received, interpreted, or evaluated by critics, audiences, or later literary traditions.
-
E.
literaryStylePhase
Indicates a relationship where a particular literary style is associated with, or characteristic of, a specific phase or period in literary development.
- 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_69d883952b048190887740a980b712ed |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b35284588190a1d6238438f3e70d |
completed | April 18, 2026, 4:37 p.m. |
| PD | Predicate disambiguation | batch_69e32b87b4248190aaddb05e88452356 |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:24 a.m.