Triple
T18875668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Wicker Man (2006 film) |
E461676
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Joel Plotch |
—
|
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: Joel Plotch | Statement: [The Wicker Man (2006 film), editedBy, Joel Plotch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joel Plotch Context triple: [The Wicker Man (2006 film), editedBy, Joel Plotch]
-
A.
Joel Plotch
chosen
Joel Plotch is a film editor known for his work on movies such as the dark comedy "Nurse Betty."
-
B.
Joel Gallen
Joel Gallen is an American film and television producer and director best known for his work on high-profile comedy specials and live event broadcasts.
-
C.
Joel Davison
Joel Davison is known primarily as the son of English actor Peter Davison, who played the Fifth Doctor in the long-running television series Doctor Who.
-
D.
Joel Graham
Joel Graham is a central character on the television series "Parenthood," portrayed as a devoted husband and father balancing family life with personal and professional challenges.
-
E.
Joel Crawford
Joel Crawford is an American film director and storyboard artist best known for his work on animated features such as "Puss in Boots: The Last Wish."
- 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_69d8dcfc3430819095ee6fc0eb4c06a5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c3ce07788190a179705eb1b6c824 |
completed | April 20, 2026, 6:12 a.m. |
Created at: April 10, 2026, 11:57 a.m.