Triple
T8433722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Infinity Stones |
E199174
|
entity |
| Predicate | originInComics |
P13656
|
FINISHED |
| Object | remnants of a cosmic entity known as Nemesis |
—
|
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: remnants of a cosmic entity known as Nemesis | Statement: [Infinity Stones, originInComics, remnants of a cosmic entity known as Nemesis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originInComics Context triple: [Infinity Stones, originInComics, remnants of a cosmic entity known as Nemesis]
-
A.
firstAppearanceInComicsIssue
Indicates the specific comic book issue in which an entity (such as a character or item) is depicted for the first time.
-
B.
characterOrigin
Indicates the source, background, or initial context from which a character originates.
-
C.
protagonistOrigin
Indicates that one entity is the origin, source, or starting point of the protagonist in a narrative or story.
-
D.
originallyIn
chosen
Indicates that something first appeared, was created, or was initially located within a particular context, source, or place.
-
E.
comicStripDebutYear
Indicates the year in which a comic strip was first published or debuted.
- 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_69ca8314cd6c8190a6b8c2a1096e18f3 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe30fba4081908bfdef3faf5baceb |
completed | March 31, 2026, 3:06 p.m. |
| PD | Predicate disambiguation | batch_69cbd0ec200c8190b0299e2b0b4bdcc2 |
completed | March 31, 2026, 1:49 p.m. |
Created at: March 30, 2026, 6:07 p.m.