Triple
T9753828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarah Vowell |
E236504
|
entity |
| Predicate | hasTwinSibling |
P2516
|
FINISHED |
| Object |
Amy Vowell
Amy Vowell is the twin sister of American author and humorist Sarah Vowell, known primarily in relation to her sibling’s public profile.
|
E818960
|
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: Amy Vowell | Statement: [Sarah Vowell, hasTwinSibling, Amy Vowell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amy Vowell Context triple: [Sarah Vowell, hasTwinSibling, Amy Vowell]
-
A.
Ariel Truax
Ariel Truax is a central love interest and spirited newcomer in the comedy film "Grumpy Old Men," whose arrival stirs up rivalry and romance between the two elderly protagonists.
-
B.
Libby Snyder
Libby Snyder is known as the spouse of American poet James Wright.
-
C.
Amy Skinner
Amy Skinner is known as the wife of renowned American rock climber and mountaineer Todd Skinner.
-
D.
Libby Geist
Libby Geist is an American documentary film producer best known for her work on acclaimed sports and social-issue documentaries, including the Oscar-winning "O.J.: Made in America."
-
E.
Ariel Vromen
Ariel Vromen is an Israeli film director, screenwriter, and producer best known for directing crime and thriller films such as "The Iceman" and "Criminal."
- 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: Amy Vowell Triple: [Sarah Vowell, hasTwinSibling, Amy Vowell]
Generated description
Amy Vowell is the twin sister of American author and humorist Sarah Vowell, known primarily in relation to her sibling’s public profile.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Amy Vowell Target entity description: Amy Vowell is the twin sister of American author and humorist Sarah Vowell, known primarily in relation to her sibling’s public profile.
-
A.
Ariel Truax
Ariel Truax is a central love interest and spirited newcomer in the comedy film "Grumpy Old Men," whose arrival stirs up rivalry and romance between the two elderly protagonists.
-
B.
Libby Snyder
Libby Snyder is known as the spouse of American poet James Wright.
-
C.
Amy Skinner
Amy Skinner is known as the wife of renowned American rock climber and mountaineer Todd Skinner.
-
D.
Libby Geist
Libby Geist is an American documentary film producer best known for her work on acclaimed sports and social-issue documentaries, including the Oscar-winning "O.J.: Made in America."
-
E.
Ariel Vromen
Ariel Vromen is an Israeli film director, screenwriter, and producer best known for directing crime and thriller films such as "The Iceman" and "Criminal."
- 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_69ca84d4eddc8190996fec1417d2bae8 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9fb01ad08190b2435fa505c622bc |
completed | April 1, 2026, 10:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1b0288b808190821287a2cc54025d |
completed | April 5, 2026, 12:43 a.m. |
| NEDg | Description generation | batch_69d1b243b2d48190b4e57871dca3f38f |
completed | April 5, 2026, 12:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1b2e335e48190b8d45097fd686c55 |
completed | April 5, 2026, 12:54 a.m. |
Created at: March 30, 2026, 8:24 p.m.