Triple
T33954654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magnus Pym |
E870534
|
entity |
| Predicate | firstPublicationOfWorkFeaturingCharacter |
P133343
|
FINISHED |
| Object | 1986 |
—
|
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: 1986 | Statement: [Magnus Pym, firstPublicationOfWorkFeaturingCharacter, 1986]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstPublicationOfWorkFeaturingCharacter Context triple: [Magnus Pym, firstPublicationOfWorkFeaturingCharacter, 1986]
-
A.
firstPublicationYearOfWorkFeaturingCharacter
chosen
Indicates the year in which the first published work featuring the given character was released.
-
B.
characterFirstAppearanceInThisPortrayal
Indicates that this is the first time the character appears in the specific portrayal or adaptation being referenced.
-
C.
firstAppearancePublisher
Indicates the publisher responsible for releasing an entity’s first appearance.
-
D.
comicStripDebutIn
Indicates the date, publication, or context in which a comic strip was first introduced or published.
-
E.
featuresCharacterDebut
Indicates that the subject work includes the first-ever appearance of a particular character.
- 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_69f3499c2d7481909c953a5010227725 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037c8ae0248190b7e2ce4bf852c22d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379f963908190846d232f386fd98f |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:49 a.m.