Triple
T19334625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Theme from Superman |
E483588
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | DC Comics |
—
|
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: DC Comics | Statement: [Theme from Superman, associatedWith, DC Comics]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DC Comics Context triple: [Theme from Superman, associatedWith, DC Comics]
-
A.
DC Comics
chosen
DC Comics is a major American comic book publisher best known for iconic superhero characters such as Superman, Batman, and Wonder Woman.
-
B.
DC Entertainment
DC Entertainment is a media company and subsidiary of Warner Bros. responsible for managing and developing film, television, and other adaptations of DC Comics properties.
-
C.
DC
DC is the regional vehicle registration code assigned to motor vehicles registered in Polewali Mandar Regency, Indonesia.
-
D.
DC
DC is the standard two-letter U.S. postal abbreviation for the District of Columbia, the federal district containing the nation’s capital, Washington.
-
E.
DC
DC was a dominant centrist and Christian democratic political party in Italy that played a leading role in the country’s post–World War II politics until the early 1990s.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d13e3c81909d91d1d5ec37c095 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e61644b80c819080f9bca086424a36 |
completed | April 20, 2026, 12:04 p.m. |
Created at: April 10, 2026, 1:33 p.m.