Triple
T24742471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malte Laurids Brigge |
E618600
|
entity |
| Predicate | hasFormOfNarration |
P35682
|
FINISHED |
| Object | fragmented notebook entries |
—
|
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: fragmented notebook entries | Statement: [Malte Laurids Brigge, hasFormOfNarration, fragmented notebook entries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFormOfNarration Context triple: [Malte Laurids Brigge, hasFormOfNarration, fragmented notebook entries]
-
A.
narrativeFormat
chosen
Indicates the specific structural or stylistic form in which a narrative is presented or expressed.
-
B.
hasNarration
Indicates that an entity provides spoken or written commentary or storytelling for another entity, such as a work, event, or scene.
-
C.
hasNarrative
Indicates that one entity contains, presents, or is associated with a story or narrative about another entity or subject.
-
D.
containsNarrativeOf
Indicates that one entity includes or presents the story, account, or narrative content of another entity.
-
E.
hasTenseNarrative
Indicates that a narrative is expressed using a specific grammatical tense or set of tenses.
- 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_69e2fab8f95c81908bb9e552cf3280c2 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f410a25ab88190a72db43043c1f6ff |
completed | May 1, 2026, 2:32 a.m. |
| PD | Predicate disambiguation | batch_69f40ef612c88190ab2f3f08d4a92018 |
completed | May 1, 2026, 2:24 a.m. |
Created at: April 18, 2026, 4:18 a.m.