Triple
T23103244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amelia Mignonette Grimaldi Thermopolis Renaldo |
E576089
|
entity |
| Predicate | primaryFormatOfNarration |
P35682
|
FINISHED |
| Object | diary |
—
|
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: diary | Statement: [Amelia Mignonette Grimaldi Thermopolis Renaldo, primaryFormatOfNarration, diary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryFormatOfNarration Context triple: [Amelia Mignonette Grimaldi Thermopolis Renaldo, primaryFormatOfNarration, diary]
-
A.
narrativeFormat
chosen
Indicates the specific structural or stylistic form in which a narrative is presented or expressed.
-
B.
settingOfNarration
Indicates the place, time, or context in which a narrated event or story takes place.
-
C.
narratorType
Indicates the narrative perspective or role from which a story or account is being told.
-
D.
narrativeType
Indicates the specific kind or category of narrative (e.g., genre, structural form, or storytelling mode) associated with an entity.
-
E.
languageOfPrimaryNarrations
Indicates the language in which the main or primary narrations are expressed or conveyed.
- 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_69e245c060b48190a9bd61a47a16db17 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18deaacbc8190a97e64e1cf39cdd6 |
completed | April 29, 2026, 4:49 a.m. |
| PD | Predicate disambiguation | batch_69ef89e5ce748190b2c3ac3843484127 |
completed | April 27, 2026, 4:08 p.m. |
Created at: April 17, 2026, 3:58 p.m.