Triple
T7502771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Ben Garant |
E177305
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Cathy Shim
Cathy Shim is an American actress, comedian, and writer known for her work in sketch comedy and television, including appearances on shows like Reno 911!.
|
E668281
|
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: Cathy Shim | Statement: [Robert Ben Garant, spouse, Cathy Shim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cathy Shim Context triple: [Robert Ben Garant, spouse, Cathy Shim]
-
A.
Karen Kwan
Karen Kwan is an American figure skater and the older sister of Olympic medalist Michelle Kwan.
-
B.
Linda Cho
Linda Cho is a Tony Award–winning costume designer known for her work on major Broadway productions and other theatrical performances.
-
C.
Jennifer Lien
Jennifer Lien is an American actress best known for her role as Kes on the television series "Star Trek: Voyager."
-
D.
Patricia Chin
Patricia Chin is a pioneering Jamaican music producer and entrepreneur best known as the co-founder of the influential reggae and dancehall label VP Records.
-
E.
Cathy Trien
Cathy Trien is an American actress known for her work in film, television, and theater, and for her former marriage to actor Peter Scolari.
- 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: Cathy Shim Triple: [Robert Ben Garant, spouse, Cathy Shim]
Generated description
Cathy Shim is an American actress, comedian, and writer known for her work in sketch comedy and television, including appearances on shows like Reno 911!.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cathy Shim Target entity description: Cathy Shim is an American actress, comedian, and writer known for her work in sketch comedy and television, including appearances on shows like Reno 911!.
-
A.
Karen Kwan
Karen Kwan is an American figure skater and the older sister of Olympic medalist Michelle Kwan.
-
B.
Linda Cho
Linda Cho is a Tony Award–winning costume designer known for her work on major Broadway productions and other theatrical performances.
-
C.
Jennifer Lien
Jennifer Lien is an American actress best known for her role as Kes on the television series "Star Trek: Voyager."
-
D.
Patricia Chin
Patricia Chin is a pioneering Jamaican music producer and entrepreneur best known as the co-founder of the influential reggae and dancehall label VP Records.
-
E.
Cathy Trien
Cathy Trien is an American actress known for her work in film, television, and theater, and for her former marriage to actor Peter Scolari.
- 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_69c69f2696688190915a8458f2398211 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f59be2748190ad8e94179f594e51 |
completed | March 27, 2026, 9:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c83c9953e88190a1e0e899f2ddf822 |
completed | March 28, 2026, 8:39 p.m. |
| NEDg | Description generation | batch_69c83defe434819086bf6d63c8f2675e |
completed | March 28, 2026, 8:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c83e531ea881909b6186de9adbccc0 |
completed | March 28, 2026, 8:47 p.m. |
Created at: March 27, 2026, 3:44 p.m.