Triple
T30958404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flip-o-rama comics |
E788739
|
entity |
| Predicate | fictionalInUniverseCreator |
P6081
|
FINISHED |
| Object | Harold Hutchins |
—
|
NE NERFINISHED |
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: Harold Hutchins | Statement: [Flip-o-rama comics, fictionalInUniverseCreator, Harold Hutchins]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fictionalInUniverseCreator Context triple: [Flip-o-rama comics, fictionalInUniverseCreator, Harold Hutchins]
-
A.
fictionalUniverseAuthor
Indicates that an author is the creator or primary writer responsible for a given fictional universe.
-
B.
fictionalUniverseCreated
chosen
Indicates that one entity is the creator or originator of a particular fictional universe or setting in which stories or works take place.
-
C.
fictionalUniverseOwner
Indicates that one entity is the creator, rights holder, or controlling owner of a particular fictional universe or setting.
-
D.
fictionalUniverse
Indicates that two entities exist within, or are associated with, the same fictional universe or narrative setting.
-
E.
fictionalUniverseRole
Indicates the role or function an entity has within a particular fictional universe or narrative setting.
- 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_69f224c28c1881908c33b45d689f1724 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fd509e6bc08190b263923c2f40fea3 |
completed | May 8, 2026, 2:55 a.m. |
| PD | Predicate disambiguation | batch_69fd4fd1a58881909d4b84de1b24e380 |
completed | May 8, 2026, 2:52 a.m. |
Created at: April 29, 2026, 8:54 p.m.