Triple
T14809371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danny Messer |
E348131
|
entity |
| Predicate | closeFriend |
P8712
|
FINISHED |
| Object | Aiden Burn |
E1073777
|
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: Aiden Burn | Statement: [Danny Messer, closeFriend, Aiden Burn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aiden Burn Context triple: [Danny Messer, closeFriend, Aiden Burn]
-
A.
Aiden Burn
chosen
Aiden Burn is a fictional crime scene investigator and key member of the forensic team on the television series CSI: NY.
-
B.
Nathan Aldyne
Nathan Aldyne is a joint pseudonym used by American writers Michael McDowell and Dennis Schuetz for their collaborative mystery and crime novels.
-
C.
Aidan
Aidan is a masculine given name of Irish origin that has become popular in many English-speaking countries.
-
D.
Caine Wise
Caine Wise is a genetically engineered ex-military hunter and protector who serves as the primary hero in the science-fiction film "Jupiter Ascending."
-
E.
Owen Davian
Owen Davian is the ruthless and highly intelligent arms dealer who serves as the primary antagonist in the film "Mission: Impossible III."
- 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_69d822ea8b7c819097dfadf3d45545e6 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decf35a5e081909321193ef37099d1 |
completed | April 14, 2026, 11:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe24ca88748190ae9e66bac5324e25 |
completed | May 8, 2026, 6 p.m. |
Created at: April 10, 2026, 1:45 a.m.