Triple
T14819121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eva Orner |
E348397
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Chasing Asylum
Chasing Asylum is a documentary film that exposes and critiques Australia’s offshore detention policies for asylum seekers.
|
E1121581
|
NE FINISHED |
How this triple was built (4 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: Chasing Asylum | Statement: [Eva Orner, notableWork, Chasing Asylum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chasing Asylum Context triple: [Eva Orner, notableWork, Chasing Asylum]
-
A.
Asylum
"Asylum" is a 2005 psychological drama film, based on Patrick McGrath’s novel, about a psychiatrist’s wife who begins a dangerous affair with a patient at a British mental institution.
-
B.
Asylum
Asylum is a record label known for signing influential rock and singer-songwriter artists, particularly in the 1970s.
-
C.
Asylum
Asylum is a heavy metal album by the American band Disturbed, noted for its dark themes and powerful, aggressive sound.
-
D.
Asylum
"Asylum" is a soulful R&B track by John Legend from his album *Love in the Future*, blending emotive vocals with lush, contemporary production.
-
E.
The Refugees
The Refugees is a short story collection by Viet Thanh Nguyen that explores the lives, memories, and dislocations of Vietnamese refugees and immigrants in America and Vietnam.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Chasing Asylum Triple: [Eva Orner, notableWork, Chasing Asylum]
Generated description
Chasing Asylum is a documentary film that exposes and critiques Australia’s offshore detention policies for asylum seekers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chasing Asylum Target entity description: Chasing Asylum is a documentary film that exposes and critiques Australia’s offshore detention policies for asylum seekers.
-
A.
Asylum
"Asylum" is a 2005 psychological drama film, based on Patrick McGrath’s novel, about a psychiatrist’s wife who begins a dangerous affair with a patient at a British mental institution.
-
B.
Asylum
Asylum is a record label known for signing influential rock and singer-songwriter artists, particularly in the 1970s.
-
C.
Asylum
Asylum is a heavy metal album by the American band Disturbed, noted for its dark themes and powerful, aggressive sound.
-
D.
Asylum
"Asylum" is a soulful R&B track by John Legend from his album *Love in the Future*, blending emotive vocals with lush, contemporary production.
-
E.
The Refugees
The Refugees is a short story collection by Viet Thanh Nguyen that explores the lives, memories, and dislocations of Vietnamese refugees and immigrants in America and Vietnam.
- F. None of above. chosen
Provenance (5 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_69d822eb8f588190bf53445e730a934f |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decfe4cf38819090f25ef045351d5d |
completed | April 14, 2026, 11:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe389940e081908ad627955cb8d52e |
completed | May 8, 2026, 7:25 p.m. |
| NEDg | Description generation | batch_69fe3a315d2c81908db44e7792908e39 |
completed | May 8, 2026, 7:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe3bda81cc8190b256ec6284383dde |
completed | May 8, 2026, 7:39 p.m. |
Created at: April 10, 2026, 1:50 a.m.