Triple
T22840679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | In Her Shoes |
E566069
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object | Curtis Hanson |
—
|
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: Curtis Hanson | Statement: [In Her Shoes, director, Curtis Hanson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Curtis Hanson Context triple: [In Her Shoes, director, Curtis Hanson]
-
A.
Curtis Hanson
chosen
Curtis Hanson was an American filmmaker best known for his stylish, character-driven thrillers and dramas, including the acclaimed neo-noir crime film "L.A. Confidential."
-
B.
Paul Haggis
Paul Haggis is a Canadian screenwriter, producer, and director best known for writing and directing the Academy Award–winning film "Crash" and co-writing "Million Dollar Baby."
-
C.
John Dahl
John Dahl is an American film and television director best known for his stylish neo-noir thrillers such as "Red Rock West" and "The Last Seduction."
-
D.
Woody Platt
Woody Platt is an American bluegrass musician best known as a founding member, guitarist, and lead vocalist of the Grammy-winning band Steep Canyon Rangers.
-
E.
David Dobkin
David Dobkin is an American film director and producer best known for his work on hit comedies such as "Wedding Crashers."
- 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_69e245869e188190a196584f36e682da |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17e83fa48819084568264ef45c833 |
completed | April 29, 2026, 3:44 a.m. |
Created at: April 17, 2026, 3:35 p.m.