Triple
T32642604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mike Sekowsky |
E834519
|
entity |
| Predicate | roleInJusticeLeagueOfAmerica |
P141408
|
FINISHED |
| Object | primary penciller in early issues |
—
|
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: primary penciller in early issues | Statement: [Mike Sekowsky, roleInJusticeLeagueOfAmerica, primary penciller in early issues]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInJusticeLeagueOfAmerica Context triple: [Mike Sekowsky, roleInJusticeLeagueOfAmerica, primary penciller in early issues]
-
A.
roleInComics
chosen
Indicates that an entity holds a specific role or function within the context of comic books or comic-related works.
-
B.
roleInWatchmen
Indicates that one entity has a specific role or function within the context of the work "Watchmen" in relation to the other entity.
-
C.
roleInBatmanAndRobin
Indicates that an entity has a specific role or involvement in the context of "Batman and Robin" (such as the story, franchise, or related work).
-
D.
roleInMarvelLore
Indicates the specific function, status, or narrative significance an entity holds within the Marvel universe’s storyline and mythology.
-
E.
roleInMysteryMen
Indicates that one entity has a specific role or part in the context of "Mystery Men," such as in its story, production, or related work.
- 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_69f3492e773c81908afc10651e46cad3 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a0042524d8c8190884a10fce669ae95 |
completed | May 10, 2026, 8:31 a.m. |
| PD | Predicate disambiguation | batch_6a0041e89bd881909e32764699bcb89b |
completed | May 10, 2026, 8:29 a.m. |
Created at: May 1, 2026, 1:07 a.m.