Triple
T17498014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philip Ahn |
E426115
|
entity |
| Predicate | parent |
P120
|
FINISHED |
| Object |
Helen Ahn
Helen Ahn is a member of the Ahn family, known primarily as the child of Korean-American actor Philip Ahn.
|
E1272494
|
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: Helen Ahn | Statement: [Philip Ahn, parent, Helen Ahn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Helen Ahn Context triple: [Philip Ahn, parent, Helen Ahn]
-
A.
Mary Sohn
Mary Sohn is an American actress and comedian best known for her role on the NBC sitcom A.P. Bio.
-
B.
Ellen Woo
Ellen Woo is an actress known for her role in the television series "Californication."
-
C.
Linda Cho
Linda Cho is a Tony Award–winning costume designer known for her work on major Broadway productions and other theatrical performances.
-
D.
Margaret Chung
Margaret Chung was a pioneering Chinese American physician and surgeon, widely regarded as the first Chinese American woman doctor in the United States and known for her influential role in supporting U.S. military personnel during World War II.
-
E.
Sandra Chung
Sandra Chung is an American linguist known for her influential work on syntax, Austronesian languages, and the interface between grammar and semantics.
- 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: Helen Ahn Triple: [Philip Ahn, parent, Helen Ahn]
Generated description
Helen Ahn is a member of the Ahn family, known primarily as the child of Korean-American actor Philip Ahn.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Helen Ahn Target entity description: Helen Ahn is a member of the Ahn family, known primarily as the child of Korean-American actor Philip Ahn.
-
A.
Mary Sohn
Mary Sohn is an American actress and comedian best known for her role on the NBC sitcom A.P. Bio.
-
B.
Ellen Woo
Ellen Woo is an actress known for her role in the television series "Californication."
-
C.
Linda Cho
Linda Cho is a Tony Award–winning costume designer known for her work on major Broadway productions and other theatrical performances.
-
D.
Margaret Chung
Margaret Chung was a pioneering Chinese American physician and surgeon, widely regarded as the first Chinese American woman doctor in the United States and known for her influential role in supporting U.S. military personnel during World War II.
-
E.
Sandra Chung
Sandra Chung is an American linguist known for her influential work on syntax, Austronesian languages, and the interface between grammar and semantics.
- 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_69d889dccf7481909264a1844a2e9100 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4520f6790819092c36e0e4ecc4cd3 |
completed | April 19, 2026, 3:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01c2067774819089728021aef5f967 |
completed | May 11, 2026, 11:48 a.m. |
| NEDg | Description generation | batch_6a01c36b06dc81909f52cbe1c57eb128 |
completed | May 11, 2026, 11:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01c41859008190b786bdc2c09f24d1 |
completed | May 11, 2026, 11:57 a.m. |
Created at: April 10, 2026, 5:48 a.m.