Triple
T18731106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cavor |
E458036
|
entity |
| Predicate | firstPublicationYearOfWorkFeaturingCharacter |
P133343
|
FINISHED |
| Object | 1901 |
—
|
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: 1901 | Statement: [Cavor, firstPublicationYearOfWorkFeaturingCharacter, 1901]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstPublicationYearOfWorkFeaturingCharacter Context triple: [Cavor, firstPublicationYearOfWorkFeaturingCharacter, 1901]
-
A.
comicStripDebutYear
Indicates the year in which a comic strip was first published or debuted.
-
B.
characterFirstAppearanceInThisPortrayal
Indicates that this is the first time the character appears in the specific portrayal or adaptation being referenced.
-
C.
comicDebutYear
Indicates the year in which a comic-related entity (such as a character, series, or creator) first appeared or debuted in a comic publication.
-
D.
characterCreatedInYear
Indicates the specific calendar year in which a fictional or narrative character was first created or introduced.
-
E.
debutWorkReleaseYear
Indicates the calendar year in which an entity’s first published or publicly released work originally came out.
- 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_69d8d393ba9c8190a8b03b04ddbb0a09 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e56d778cf8819083500600b9ac0744 |
completed | April 20, 2026, 12:04 a.m. |
| PD | Predicate disambiguation | batch_69e48d03766c8190a43f7681842f4f8d |
completed | April 19, 2026, 8:06 a.m. |
| PDg | Predicate description generation | batch_69e49a9bcc0c81908df3e513fd6762ff |
completed | April 19, 2026, 9:04 a.m. |
Created at: April 10, 2026, 11:51 a.m.