Triple
T38691503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Freya Roth |
E949276
|
entity |
| Predicate | yearOfFictionalWorkPublication |
P110890
|
FINISHED |
| Object | 1940 |
—
|
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: 1940 | Statement: [Freya Roth, yearOfFictionalWorkPublication, 1940]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearOfFictionalWorkPublication Context triple: [Freya Roth, yearOfFictionalWorkPublication, 1940]
-
A.
releaseYearInFiction
Indicates the year in which a fictional work is depicted as being released or taking place within its narrative universe.
-
B.
novelReleaseYear
chosen
Indicates the calendar year in which a novel was first released or published.
-
C.
yearOfFictionalEvent
Indicates the specific calendar year in which a fictional event is depicted as occurring within a narrative or fictional universe.
-
D.
launchedInFictionalYear
Indicates that an entity is depicted as being launched in a specified fictional or imaginary year within a narrative or fictional universe.
-
E.
originalPlayPublicationYear
Indicates the year in which the original version of a play was first published.
- 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_69f76efe16148190befd5dd59c3dfeaa |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fea1f5d8c481908dc3351dc9ecef7f |
completed | May 9, 2026, 2:54 a.m. |
| PD | Predicate disambiguation | batch_69fea06b6fe0819095bf4c1bc9809927 |
completed | May 9, 2026, 2:48 a.m. |
Created at: May 3, 2026, 4:33 p.m.