Triple
T6955904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michonne |
E161241
|
entity |
| Predicate | statusInComics |
P58920
|
FINISHED |
| Object | alive (as of later issues, subject to change) |
—
|
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: alive (as of later issues, subject to change) | Statement: [Michonne, statusInComics, alive (as of later issues, subject to change)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusInComics Context triple: [Michonne, statusInComics, alive (as of later issues, subject to change)]
-
A.
superheroStatus
Indicates that an entity possesses the qualities, role, or designation of being a superhero, such as having heroic abilities, identity, or status.
-
B.
hasComicSeries
Indicates that one entity is the comic series to which another entity belongs or with which it is associated.
-
C.
in-universeStatus
chosen
Indicates the canonical status or role that something holds within the fictional universe or narrative continuity itself.
-
D.
hasFictionalIssue
Indicates that one entity possesses, is associated with, or is characterized by a particular fictional problem, flaw, or complication.
-
E.
fictionalStatus
Indicates that an entity exists only in imagination or narrative and does not correspond to a real-world counterpart.
- 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_69c68852a9a0819097797e31d492e273 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dacf8c8c8190a25dbacebeb4b66e |
completed | March 27, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69c6d7bf0a7c8190b5ed4aca22ba9b97 |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:29 p.m.