Triple
T5997146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ben Huh |
E133498
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Emily Huh
Emily Huh is an American entrepreneur best known as the co-founder and former general manager of the humor website Cheezburger, alongside her husband Ben Huh.
|
E560780
|
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: Emily Huh | Statement: [Ben Huh, spouse, Emily Huh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emily Huh Context triple: [Ben Huh, spouse, Emily Huh]
-
A.
Hyein Park
Hyein Park is a Korean-Canadian voice actress best known for voicing the character Abby in Pixar’s animated film "Turning Red."
-
B.
Julie Oh
Julie Oh is a film producer known for her work on projects such as the musical drama "Tick, Tick... Boom!" (2021).
-
C.
Jane Kim
Jane Kim is an American politician and attorney who served on the San Francisco Board of Supervisors and is known for her progressive advocacy on housing, education, and workers’ rights.
-
D.
Dongjin Seo
Dongjin Seo is a neuroscientist and engineer known as one of the co-founders of the brain–computer interface company Neuralink.
-
E.
Ji-hyun Jung
Ji-hyun Jung is a Korean given name borne by various notable individuals, including figures in entertainment, sports, and other public fields.
- 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: Emily Huh Triple: [Ben Huh, spouse, Emily Huh]
Generated description
Emily Huh is an American entrepreneur best known as the co-founder and former general manager of the humor website Cheezburger, alongside her husband Ben Huh.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Emily Huh Target entity description: Emily Huh is an American entrepreneur best known as the co-founder and former general manager of the humor website Cheezburger, alongside her husband Ben Huh.
-
A.
Hyein Park
Hyein Park is a Korean-Canadian voice actress best known for voicing the character Abby in Pixar’s animated film "Turning Red."
-
B.
Julie Oh
Julie Oh is a film producer known for her work on projects such as the musical drama "Tick, Tick... Boom!" (2021).
-
C.
Jane Kim
Jane Kim is an American politician and attorney who served on the San Francisco Board of Supervisors and is known for her progressive advocacy on housing, education, and workers’ rights.
-
D.
Dongjin Seo
Dongjin Seo is a neuroscientist and engineer known as one of the co-founders of the brain–computer interface company Neuralink.
-
E.
Ji-hyun Jung
Ji-hyun Jung is a Korean given name borne by various notable individuals, including figures in entertainment, sports, and other public fields.
- 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_69c00870ddbc81909880fa3864f4f38d |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04ee274e08190b6478c7ae318ae48 |
completed | March 22, 2026, 8:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c10876d4d0819083ac7431c8abaedd |
completed | March 23, 2026, 9:31 a.m. |
| NEDg | Description generation | batch_69c10987f5588190ac9305b84d8916a7 |
completed | March 23, 2026, 9:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c10afbee8081909cf516ae7cda7ccf |
completed | March 23, 2026, 9:42 a.m. |
Created at: March 22, 2026, 4:05 p.m.