Triple
T29002634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Little Red-Haired Girl |
E736344
|
entity |
| Predicate | visibilityInComics |
P165886
|
FINISHED |
| Object | usually unseen |
—
|
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: usually unseen | Statement: [Little Red-Haired Girl, visibilityInComics, usually unseen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: visibilityInComics Context triple: [Little Red-Haired Girl, visibilityInComics, usually unseen]
-
A.
roleInComics
Indicates that an entity holds a specific role or function within the context of comic books or comic-related works.
-
B.
comicBookUniverse
Indicates that multiple comic book characters, stories, or events exist within and are governed by the same fictional continuity or shared narrative world.
-
C.
comicTrait
Indicates that an entity possesses a humorous or comedic characteristic, quality, or behavior.
-
D.
visibilityInImages
Indicates how clearly or prominently an entity can be seen or detected within one or more images.
-
E.
appearsInIdentity
Indicates that an entity is featured, referenced, or plays a role within a particular identity or identity-related context.
- F. None of above. chosen
Provenance (4 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_69f077eb81e88190ad9ff62cbb9f555e |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f65fbd59d0819095a6bfb40c7c96d5 |
completed | May 2, 2026, 8:34 p.m. |
| PD | Predicate disambiguation | batch_69f659d297cc8190b2b962ba30a1edb3 |
completed | May 2, 2026, 8:08 p.m. |
| PDg | Predicate description generation | batch_69f65ad638ac8190a17bb987fce53279 |
completed | May 2, 2026, 8:13 p.m. |
Created at: April 28, 2026, 9:35 a.m.