Triple
T16611591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crashing |
E403581
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object | George Kane |
E1211095
|
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: George Kane | Statement: [Crashing, director, George Kane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: George Kane Context triple: [Crashing, director, George Kane]
-
A.
George Kane
chosen
George Kane is a film and television producer known for his work on the Irish horror-comedy "Boys from County Hell."
-
B.
Louis Kane
Louis Kane is an American entrepreneur best known as a co-founder of the bakery-café chain Panera Bread.
-
C.
Matthew Kane
Matthew Kane is the main playable Marine character in the sci-fi first-person shooter video game Quake 4, leading the fight against the alien Strogg.
-
D.
Paul Kernaghan
Paul Kernaghan is a British public official and former senior police officer who has served as the House of Lords Commissioner for Standards, overseeing investigations into members’ conduct.
-
E.
Jacob Kane
Jacob Kane is a DC Comics character, a former military officer and the stern yet caring father of Batwoman, Kate Kane, often entangled in Gotham’s vigilante conflicts and covert operations.
- 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_69d883880d0c81908b5fcd454e767b60 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e36096356c819092815d64db041793 |
completed | April 18, 2026, 10:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0075aca5c0819092637e0d83ce8ac0 |
completed | May 10, 2026, 12:10 p.m. |
Created at: April 10, 2026, 5:17 a.m.