Triple
T4063666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buck Rogers |
E86273
|
entity |
| Predicate | comicStripDebutMedium |
P17193
|
FINISHED |
| Object | newspaper comic strip |
—
|
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: newspaper comic strip | Statement: [Buck Rogers, comicStripDebutMedium, newspaper comic strip]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: comicStripDebutMedium Context triple: [Buck Rogers, comicStripDebutMedium, newspaper comic strip]
-
A.
firstAppearanceMedium
chosen
Indicates the medium (such as book, film, or game) in which an entity first appeared.
-
B.
periodicalDebut
Indicates the time or event at which a periodical (such as a magazine, journal, or newspaper) is first published or released.
-
C.
characterFirstAppearanceInThisPortrayal
Indicates that this is the first time the character appears in the specific portrayal or adaptation being referenced.
-
D.
fictionalUniverseDebut
Indicates the first appearance of an entity within a particular fictional universe or continuity.
-
E.
comicFunction
Indicates a relationship where something serves a humorous or entertainment role, such as providing comedy, comic relief, or a joking purpose within a context.
- 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_69aed93c69208190a4efac0efe3cd69b |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefd0bdea48190805a79515ee92709 |
completed | March 9, 2026, 5:02 p.m. |
| PD | Predicate disambiguation | batch_69aef90438908190a005b08ba271eacf |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:38 p.m.