Triple
T36163807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Envoy from Mirror City |
E1045941
|
entity |
| Predicate | isAutobiographicalTrilogyVolume |
P184977
|
FINISHED |
| Object | third volume |
—
|
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: third volume | Statement: [The Envoy from Mirror City, isAutobiographicalTrilogyVolume, third volume]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isAutobiographicalTrilogyVolume Context triple: [The Envoy from Mirror City, isAutobiographicalTrilogyVolume, third volume]
-
A.
isThirdAutobiographyOf
Indicates that one work is the third autobiography written by or about a particular person or entity in a sequence of autobiographical works.
-
B.
isSecondAutobiographyOf
Indicates that one work is the second autobiography written by or about a particular person.
-
C.
hasTrilogy
Indicates that an entity is part of, or associated with, a specific trilogy within a larger set of works or narratives.
-
D.
isFirstVolumeOf
Indicates that one item is the initial volume in a multi-volume work or series.
-
E.
wroteAutobiographicalWork
Indicates that a person is the author of a written work that is an account of their own life.
- F. None of above. chosen
Provenance (4 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_69f76e396bc88190b99d221bff9be27a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b69b333081909cadbed3fcb8ecf5 |
completed | May 3, 2026, 8:56 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c2a5f8819094ad4621d7b97e0c |
completed | May 3, 2026, 8:49 p.m. |
| PDg | Predicate description generation | batch_69f7b69a74a08190b31b1201278a2c57 |
completed | May 3, 2026, 8:56 p.m. |
Created at: May 3, 2026, 4:08 p.m.