Triple
T28922902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suicide Slum |
E733565
|
entity |
| Predicate | firstAppearedInUniverse |
P86558
|
FINISHED |
| Object | a Superman-related comic book title |
—
|
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: a Superman-related comic book title | Statement: [Suicide Slum, firstAppearedInUniverse, a Superman-related comic book title]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstAppearedInUniverse Context triple: [Suicide Slum, firstAppearedInUniverse, a Superman-related comic book title]
-
A.
firstAppearanceUniverse
chosen
Indicates the universe or continuity in which an entity makes its first recorded appearance.
-
B.
firstAppearanceUniverseEra
Indicates the specific universe era in which an entity makes its first recorded appearance.
-
C.
firstComicsAppearanceUniverse
Indicates the universe in which a character or entity made its first appearance in comic books.
-
D.
firstAppearsOnEarth
Indicates that the referenced entity makes its earliest known appearance or occurrence on Earth at the specified time or context.
-
E.
firstAppeared
Indicates the earliest known time or context in which an entity was introduced, observed, or came into existence.
- 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_69f05b0a5cc0819094828367ae204b70 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_6a00694f72888190983fee7d687a6daa |
completed | May 10, 2026, 11:17 a.m. |
| PD | Predicate disambiguation | batch_6a00685dbf44819098ea0c86bb9e50d8 |
completed | May 10, 2026, 11:13 a.m. |
Created at: April 28, 2026, 8:21 a.m.