Triple
T17896622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cassandra Cain |
E447446
|
entity |
| Predicate | trainedBy |
P3665
|
FINISHED |
| Object | David Cain |
E1295293
|
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: David Cain | Statement: [Cassandra Cain, trainedBy, David Cain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Cain Context triple: [Cassandra Cain, trainedBy, David Cain]
-
A.
David Cain
chosen
David Cain is a deadly DC Comics assassin and mercenary best known as the abusive father and trainer of Batgirl Cassandra Cain.
-
B.
Deckard Cain
Deckard Cain is a wise and elderly Horadric scholar from the Diablo video game series, known for identifying items and guiding heroes with his extensive knowledge of lore and demons.
-
C.
Scott Cain
Scott Cain is an American local government official who has served as the mayor of Cleburne, Texas.
-
D.
Alex Blake
Alex Blake is a seasoned FBI linguistics expert and profiler on the television series "Criminal Minds," known for her analytical mind and calm, compassionate demeanor.
-
E.
Michael Moriarty
Michael Moriarty is an American-Canadian actor known for his intense character roles in film and television, including his Emmy-winning work on the series "Law & Order."
- 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_69d8b9f59bd48190a6fc925a855b8bac |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49d8045748190a4e8c4684439a96b |
completed | April 19, 2026, 9:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0321271ebc8190ba244c524c57a6b3 |
completed | May 12, 2026, 12:46 p.m. |
Created at: April 10, 2026, 10:19 a.m.