Triple
T22952693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alexandra Schepisi |
E570061
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Clearing |
—
|
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: The Clearing | Statement: [Alexandra Schepisi, notableWork, The Clearing]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Clearing Context triple: [Alexandra Schepisi, notableWork, The Clearing]
-
A.
The Clearing
chosen
The Clearing is a psychological thriller film featuring Miranda Otto in a prominent role.
-
B.
A Clearing
"A Clearing" is an ambient music track featured on the album "Ambient 4: On Land" by Brian Eno.
-
C.
An Old Clearing
"An Old Clearing" is a landscape painting by American artist Alexander Helwig Wyant, exemplifying his atmospheric, tonal style within the Hudson River School and American Barbizon traditions.
-
D.
The Light in the Clearing
The Light in the Clearing is a 1917 novel by American author Irving Bacheller, known as a sentimental coming-of-age story set in rural upstate New York.
-
E.
Dusklands
Dusklands is a 1974 debut novel by J. M. Coetzee that intertwines two narratives to explore themes of colonial violence, power, and psychological disintegration.
- 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_69e2459199d08190a8184ee2aa935842 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f181a34c30819099ff4812500a0991 |
completed | April 29, 2026, 3:57 a.m. |
Created at: April 17, 2026, 3:46 p.m.