Triple
T14876710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don Heck |
E349885
|
entity |
| Predicate | workedForPublisher |
P4325
|
FINISHED |
| Object | DC Comics |
E18704
|
NE 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: DC Comics | Statement: [Don Heck, workedForPublisher, DC Comics]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DC Comics Context triple: [Don Heck, workedForPublisher, 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 widely used nickname of Dan Carter, the legendary New Zealand rugby union fly-half regarded as one of the greatest players in the sport’s history.
-
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 (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_69d822ee4f408190b6ac3b2fa434f0df |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded5e4e4448190a8796573bc6d1069 |
completed | April 15, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6b54ad7c819082575245da07e358 |
completed | May 8, 2026, 11:01 p.m. |
Created at: April 10, 2026, 1:55 a.m.