Triple
T14854274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cable |
E349311
|
entity |
| Predicate | alias |
P39
|
FINISHED |
| Object | Nathan Dayspring Askani’son |
E1124089
|
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: Nathan Dayspring Askani’son | Statement: [Cable, alias, Nathan Dayspring Askani’son]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nathan Dayspring Askani’son Context triple: [Cable, alias, Nathan Dayspring Askani’son]
-
A.
Nathan Dayspring
chosen
Nathan Dayspring is the birth name of Cable, a time-traveling mutant warrior from Marvel Comics known for his telekinetic powers, cybernetic enhancements, and leadership of X-Force.
-
B.
Matthew Asen
Matthew Asen was a 14th-century Byzantine nobleman and member of the influential Asen family, known for his political and dynastic connections within the late Byzantine Empire.
-
C.
Nathan Aldyne
Nathan Aldyne is a joint pseudonym used by American writers Michael McDowell and Dennis Schuetz for their collaborative mystery and crime novels.
-
D.
Nathan Gardner
Nathan Gardner is an educational administrator who serves as a school principal.
-
E.
Nathan Gardner
Nathan Gardner is a person known primarily as a relative of Susan Gardner.
- 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_69d822ed7e1881909b90fca143ad7e34 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded44318f0819080b6c599f2d3474f |
completed | April 14, 2026, 11:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6b4ce76881909bf4a967da9357ae |
completed | May 8, 2026, 11:01 p.m. |
Created at: April 10, 2026, 1:54 a.m.