Triple
T20011267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lemony Snicket |
E494593
|
entity |
| Predicate | fictionalBackstoryElement |
P93172
|
FINISHED |
| Object | member of V.F.D. |
—
|
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: member of V.F.D. | Statement: [Lemony Snicket, fictionalBackstoryElement, member of V.F.D.]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fictionalBackstoryElement Context triple: [Lemony Snicket, fictionalBackstoryElement, member of V.F.D.]
-
A.
hasFictionalBackstory
chosen
Indicates that an entity is associated with an invented or imaginary narrative background rather than a real-world history.
-
B.
fictionalBiography
Indicates that a work presents an invented or fictionalized account of a person's life rather than a factual biography.
-
C.
fictionalOrigin
Indicates that one entity originates from, or was first introduced within, a fictional work, universe, or narrative created by another entity.
-
D.
fictionalContent
Indicates that one entity is content whose subject matter, events, or characters are imaginary or invented rather than factual.
-
E.
fictionalNarrator
Indicates that one entity serves as the narrator or storytelling voice within a fictional work that features the other entity.
- 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_69da626b2d748190886981ea90c8b2ea |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e662362df48190abf16129eea39985 |
completed | April 20, 2026, 5:28 p.m. |
| PD | Predicate disambiguation | batch_69e54cdddbd48190becc8b2aa5ab4ef9 |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 3:33 p.m.