Triple
T9985981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gerry Conway |
E196567
|
entity |
| Predicate | coCreatorOf |
P806
|
FINISHED |
| Object | Jason Todd |
E821761
|
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: Jason Todd | Statement: [Gerry Conway, coCreatorOf, Jason Todd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jason Todd Context triple: [Gerry Conway, coCreatorOf, Jason Todd]
-
A.
Jason Todd
chosen
Jason Todd is a DC Comics antihero best known as the second Robin who was murdered by the Joker and later resurrected as the vigilante Red Hood.
-
B.
Damian Wayne
Damian Wayne is a DC Comics character who serves as the son of Batman and Talia al Ghul and becomes the fifth Robin in the Batman mythos.
-
C.
Nightwing
Nightwing is the superhero identity of Dick Grayson, the original Robin, who operates independently from Batman as a highly skilled acrobat, detective, and crimefighter.
-
D.
Beast Boy
Beast Boy is a green-skinned, shape-shifting superhero and member of the Teen Titans known for his comedic personality and ability to transform into any animal.
-
E.
John Battsek
John Battsek is a British film producer renowned for his work on acclaimed feature documentaries and sports-related non-fiction films.
- 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_69ca82efbce081908179b4b9c65096eb |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdc79af13c81909349ae0b0d5da946 |
completed | April 2, 2026, 1:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d258078488819086a58db79075e2b9 |
completed | April 5, 2026, 12:39 p.m. |
Created at: March 30, 2026, 8:49 p.m.