Triple
T22093267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Commuter |
E545960
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Julian Clarke |
—
|
NE NERFINISHED |
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: Julian Clarke | Statement: [The Commuter, editedBy, Julian Clarke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Julian Clarke Context triple: [The Commuter, editedBy, Julian Clarke]
-
A.
Julian Clarke
chosen
Julian Clarke is a Canadian film editor known for his work on major feature films, including the science fiction movie "Elysium."
-
B.
Julian Richards
Julian Richards is a British film director and screenwriter known for his work in independent horror and thriller cinema.
-
C.
Julian Reid
Julian Reid is a relatively obscure individual whose specific public notability is not clearly established from the available information.
-
D.
Julian Dennison
Julian Dennison is a New Zealand actor best known for his breakout role in "Hunt for the Wilderpeople" and his performance in "Deadpool 2."
-
E.
Julian Yates
Julian Yates is a scholar and academic known for his work in literary and cultural studies.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e36d03c8190a83a1ba802b7231b |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128e6b1d881909bf0f4a52199354c |
completed | April 28, 2026, 9:38 p.m. |
Created at: April 16, 2026, 8:29 p.m.