Triple
T6080501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fred Schepisi |
E135509
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Mary Schepisi
Mary Schepisi is an American artist and painter known for her contemporary works and for being married to Australian film director Fred Schepisi.
|
E569454
|
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: Mary Schepisi | Statement: [Fred Schepisi, spouse, Mary Schepisi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mary Schepisi Context triple: [Fred Schepisi, spouse, Mary Schepisi]
-
A.
Rhonda Schepisi
Rhonda Schepisi is the wife of Australian film director Fred Schepisi.
-
B.
Gillian Armstrong
Gillian Armstrong is an Australian film director best known for works such as "My Brilliant Career" and the 1994 adaptation of "Little Women."
-
C.
Jocelyn Moorhouse
Jocelyn Moorhouse is an Australian film director and screenwriter known for character-driven dramas such as "Proof" and "How to Make an American Quilt."
-
D.
Lee Russell
Lee Russell was an American photographer known for his work documenting rural life and poverty in the United States as part of the Farm Security Administration project during the Great Depression.
-
E.
Lee Russell
Lee Russell was the wife of British actor Herbert Marshall, known primarily for her marriage to the prominent film and stage star.
- 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: Mary Schepisi Triple: [Fred Schepisi, spouse, Mary Schepisi]
Generated description
Mary Schepisi is an American artist and painter known for her contemporary works and for being married to Australian film director Fred Schepisi.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mary Schepisi Target entity description: Mary Schepisi is an American artist and painter known for her contemporary works and for being married to Australian film director Fred Schepisi.
-
A.
Rhonda Schepisi
Rhonda Schepisi is the wife of Australian film director Fred Schepisi.
-
B.
Gillian Armstrong
Gillian Armstrong is an Australian film director best known for works such as "My Brilliant Career" and the 1994 adaptation of "Little Women."
-
C.
Jocelyn Moorhouse
Jocelyn Moorhouse is an Australian film director and screenwriter known for character-driven dramas such as "Proof" and "How to Make an American Quilt."
-
D.
Lee Russell
Lee Russell was an American photographer known for his work documenting rural life and poverty in the United States as part of the Farm Security Administration project during the Great Depression.
-
E.
Lee Russell
Lee Russell was the wife of British actor Herbert Marshall, known primarily for her marriage to the prominent film and stage star.
- 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_69c0087ad31c8190ab936e0ff28614b6 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c057735b6081908b82757505fa7d5d |
completed | March 22, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1252a178c81909a3d689ad748fb5e |
completed | March 23, 2026, 11:34 a.m. |
| NEDg | Description generation | batch_69c1288420dc8190bd70eba4c1a789df |
completed | March 23, 2026, 11:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c129259d988190aa53f1637ff05be5 |
completed | March 23, 2026, 11:51 a.m. |
Created at: March 22, 2026, 4:11 p.m.