Triple
T17201674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Splice |
E417488
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Sarah Polley |
E268068
|
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: Sarah Polley | Statement: [Splice, starring, Sarah Polley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarah Polley Context triple: [Splice, starring, Sarah Polley]
-
A.
Sarah Polley
chosen
Sarah Polley is a Canadian actress, writer, and filmmaker known for acclaimed works such as "Away from Her," "Stories We Tell," and the Oscar-winning "Women Talking."
-
B.
Rebecca Miller
Rebecca Miller is an American filmmaker, screenwriter, and novelist known for works such as "Personal Velocity" and "The Private Lives of Pippa Lee."
-
C.
Courtney Hunt
Courtney Hunt is an American filmmaker best known for her acclaimed independent drama "Frozen River," which earned multiple award nominations including an Academy Award for Best Original Screenplay.
-
D.
Debra Granik
Debra Granik is an American filmmaker best known for directing the critically acclaimed independent dramas "Winter's Bone" and "Leave No Trace."
-
E.
Abi Morgan
Abi Morgan is a British playwright and screenwriter known for her work on acclaimed films and television dramas such as "The Iron Lady," "Suffragette," and "The Hour."
- 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_69d886d6ba8c819093215917b3d01689 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42db014b08190b88a5001e9f7811b |
completed | April 19, 2026, 1:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a015fdc13d88190bbf9e6d1272814d2 |
completed | May 11, 2026, 4:49 a.m. |
Created at: April 10, 2026, 5:38 a.m.