Triple
T5148467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rabbit-Proof Fence |
E116132
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Christine Olsen
Christine Olsen is an Australian film producer best known for her work on the acclaimed drama "Rabbit-Proof Fence."
|
E527694
|
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: Christine Olsen | Statement: [Rabbit-Proof Fence, producer, Christine Olsen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Christine Olsen Context triple: [Rabbit-Proof Fence, producer, Christine Olsen]
-
A.
Susan Christensen
Susan Christensen is an American jurist who serves as the Chief Justice of the Iowa Supreme Court.
-
B.
Carlene Olson
Carlene Olson is an American actress and former model best known for her marriage to actor Michael Biehn.
-
C.
Beth Johanssen
Beth Johanssen is a brilliant young NASA systems operator and communications specialist who is part of the Ares 3 crew in Andy Weir’s science fiction novel "The Martian."
-
D.
Christine Campbell
Christine Campbell is the neurotic yet resilient single-mom protagonist of the sitcom "The New Adventures of Old Christine," portrayed by Julia Louis-Dreyfus.
-
E.
Christine Kuehbeck
Christine Kuehbeck is a former model best known as the wife of American investigative journalist and author Carl Bernstein.
- 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: Christine Olsen Triple: [Rabbit-Proof Fence, producer, Christine Olsen]
Generated description
Christine Olsen is an Australian film producer best known for her work on the acclaimed drama "Rabbit-Proof Fence."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Christine Olsen Target entity description: Christine Olsen is an Australian film producer best known for her work on the acclaimed drama "Rabbit-Proof Fence."
-
A.
Susan Christensen
Susan Christensen is an American jurist who serves as the Chief Justice of the Iowa Supreme Court.
-
B.
Carlene Olson
Carlene Olson is an American actress and former model best known for her marriage to actor Michael Biehn.
-
C.
Beth Johanssen
Beth Johanssen is a brilliant young NASA systems operator and communications specialist who is part of the Ares 3 crew in Andy Weir’s science fiction novel "The Martian."
-
D.
Christine Campbell
Christine Campbell is the neurotic yet resilient single-mom protagonist of the sitcom "The New Adventures of Old Christine," portrayed by Julia Louis-Dreyfus.
-
E.
Christine Kuehbeck
Christine Kuehbeck is a former model best known as the wife of American investigative journalist and author Carl Bernstein.
- 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_69bd4446c0e08190a7c29dc74976bf03 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd78b17028819080568715df8c13eb |
completed | March 20, 2026, 4:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bff960da7c8190a72458b56f6c5c52 |
completed | March 22, 2026, 2:14 p.m. |
| NEDg | Description generation | batch_69bffa3a3b1c8190ab03cc1c4f4ca926 |
completed | March 22, 2026, 2:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bffa8b06b88190b1a98348bc4d962e |
completed | March 22, 2026, 2:19 p.m. |
Created at: March 20, 2026, 1:43 p.m.