Triple
T12994740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Annelies Marie Frank |
E322005
|
entity |
| Predicate | wroteDuring |
P1143
|
FINISHED |
| Object | hiding |
—
|
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: hiding | Statement: [Annelies Marie Frank, wroteDuring, hiding]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wroteDuring Context triple: [Annelies Marie Frank, wroteDuring, hiding]
-
A.
writtenDuring
chosen
Indicates that the creation or authorship of something took place within a specified time period or historical event.
-
B.
wroteIn
Indicates that an entity authored or composed something using a particular language, medium, or writing system.
-
C.
wrote
Indicates that an entity is the author or creator of a written work involving another entity.
-
D.
writtenTo
Indicates that something has been addressed or directed in written form to a particular recipient.
-
E.
laterWrittenIn
Indicates that one text or version was written at a later time than another, establishing a chronological order between the writings.
- 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_69d8076479b8819090afce3591939cdf |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e7877f481908a03f1077600e58a |
completed | April 10, 2026, 10:49 p.m. |
| PD | Predicate disambiguation | batch_69d97dc153a081909d13a694993f074a |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 8:44 p.m.