Triple
T16108088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Susan Lewis |
E390794
|
entity |
| Predicate | hasNiece |
P63741
|
FINISHED |
| Object |
Susie Parker
Susie Parker is the young niece of ER physician Dr. Susan Lewis in the television series "ER."
|
E1198476
|
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: Susie Parker | Statement: [Dr. Susan Lewis, hasNiece, Susie Parker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Susie Parker Context triple: [Dr. Susan Lewis, hasNiece, Susie Parker]
-
A.
Susie Moss
Susie Moss is best known as the wife of legendary British racing driver Sir Stirling Moss and a prominent figure in the motor racing community.
-
B.
Susie Brown
Susie Brown is a fictional character portrayed by Viola Davis, likely serving as a significant supporting figure in the story she appears in.
-
C.
Carol Parker
Carol Parker is best known as the wife of Marlon Jackson, a member of the famed Jackson family and former singer of The Jackson 5.
-
D.
Susie Bannion
Susie Bannion is the young American dancer who becomes entangled with a coven of witches at a prestigious Berlin dance academy in the 2018 horror film "Suspiria."
-
E.
Susie Lewis
Susie Lewis is an animator and producer best known for her work on the MTV animated series "Daria."
- 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: Susie Parker Triple: [Dr. Susan Lewis, hasNiece, Susie Parker]
Generated description
Susie Parker is the young niece of ER physician Dr. Susan Lewis in the television series "ER."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Susie Parker Target entity description: Susie Parker is the young niece of ER physician Dr. Susan Lewis in the television series "ER."
-
A.
Susie Moss
Susie Moss is best known as the wife of legendary British racing driver Sir Stirling Moss and a prominent figure in the motor racing community.
-
B.
Susie Brown
Susie Brown is a fictional character portrayed by Viola Davis, likely serving as a significant supporting figure in the story she appears in.
-
C.
Carol Parker
Carol Parker is best known as the wife of Marlon Jackson, a member of the famed Jackson family and former singer of The Jackson 5.
-
D.
Susie Bannion
Susie Bannion is the young American dancer who becomes entangled with a coven of witches at a prestigious Berlin dance academy in the 2018 horror film "Suspiria."
-
E.
Susie Lewis
Susie Lewis is an animator and producer best known for her work on the MTV animated series "Daria."
- 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_69d87f1a8dd881909f1de6ef78849874 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e20165aa9c81908c5358cca2b0d0fe |
completed | April 17, 2026, 9:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fffeed4e008190b1e8d924b9dc9d37 |
completed | May 10, 2026, 3:43 a.m. |
| NEDg | Description generation | batch_69ffff8ddb04819091d2261acf823d3c |
completed | May 10, 2026, 3:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffffdb48788190879e733d46393529 |
completed | May 10, 2026, 3:47 a.m. |
Created at: April 10, 2026, 5 a.m.