Triple
T15990162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yee |
E387802
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Jennifer Yee
Jennifer Yee is a notable individual whose achievements have made the surname Yee recognizable in her field.
|
E1190445
|
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: Jennifer Yee | Statement: [Yee, hasNotableBearer, Jennifer Yee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jennifer Yee Context triple: [Yee, hasNotableBearer, Jennifer Yee]
-
A.
Grace Huang
Grace Huang is a Taiwanese-Australian actress and model known for her roles in action and martial arts films, including the sequel to "The Man with the Iron Fists."
-
B.
ViviAnn Yee
ViviAnn Yee is an American child voice actress known for her roles in animated films and television series, including work in the Boss Baby franchise.
-
C.
Rachel Fong
Rachel Fong is a researcher in machine learning and reinforcement learning, known for her work on the Hindsight Experience Replay technique.
-
D.
Michelle Yee
Michelle Yee is an American philanthropist and investor best known as the wife of LinkedIn co-founder Reid Hoffman.
-
E.
Christine Lee
Christine Lee is an actress best known for her role in the Netflix zombie apocalypse series "Black Summer."
- 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: Jennifer Yee Triple: [Yee, hasNotableBearer, Jennifer Yee]
Generated description
Jennifer Yee is a notable individual whose achievements have made the surname Yee recognizable in her field.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jennifer Yee Target entity description: Jennifer Yee is a notable individual whose achievements have made the surname Yee recognizable in her field.
-
A.
Grace Huang
Grace Huang is a Taiwanese-Australian actress and model known for her roles in action and martial arts films, including the sequel to "The Man with the Iron Fists."
-
B.
ViviAnn Yee
ViviAnn Yee is an American child voice actress known for her roles in animated films and television series, including work in the Boss Baby franchise.
-
C.
Rachel Fong
Rachel Fong is a researcher in machine learning and reinforcement learning, known for her work on the Hindsight Experience Replay technique.
-
D.
Michelle Yee
Michelle Yee is an American philanthropist and investor best known as the wife of LinkedIn co-founder Reid Hoffman.
-
E.
Christine Lee
Christine Lee is an actress best known for her role in the Netflix zombie apocalypse series "Black Summer."
- 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e157829ec08190aa4a683e29a0148a |
completed | April 16, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf1cb1388190b1ebccc6705e5974 |
completed | May 10, 2026, 12:19 a.m. |
| NEDg | Description generation | batch_69ffcf9d6c5c8190b10abdf70aed7ddf |
completed | May 10, 2026, 12:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffd96de9288190ab1727e7864dcaa6 |
completed | May 10, 2026, 1:03 a.m. |
Created at: April 10, 2026, 4:54 a.m.