Triple
T8404745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anna |
E198466
|
entity |
| Predicate | portrayedByVoice |
P13156
|
FINISHED |
| Object |
Livvy Stubenrauch
Livvy Stubenrauch is an American child actress best known for voicing young Anna in Disney's animated film "Frozen."
|
E738350
|
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: Livvy Stubenrauch | Statement: [Anna, portrayedByVoice, Livvy Stubenrauch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Livvy Stubenrauch Context triple: [Anna, portrayedByVoice, Livvy Stubenrauch]
-
A.
Lily Stumpf
Lily Stumpf was the wife of Swiss-German painter Paul Klee and a trained pianist who supported and influenced his artistic career.
-
B.
Abbie Steinhauser
Abbie Steinhauser is an architect known for her work on the design of the Van Abbemuseum.
-
C.
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."
-
D.
Libby Snyder
Libby Snyder is known as the spouse of American poet James Wright.
-
E.
Molly Ziegler
Molly Ziegler is a fictional character on the television series "The West Wing," known as the daughter of White House Communications Director Toby Ziegler.
- 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: Livvy Stubenrauch Triple: [Anna, portrayedByVoice, Livvy Stubenrauch]
Generated description
Livvy Stubenrauch is an American child actress best known for voicing young Anna in Disney's animated film "Frozen."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Livvy Stubenrauch Target entity description: Livvy Stubenrauch is an American child actress best known for voicing young Anna in Disney's animated film "Frozen."
-
A.
Lily Stumpf
Lily Stumpf was the wife of Swiss-German painter Paul Klee and a trained pianist who supported and influenced his artistic career.
-
B.
Abbie Steinhauser
Abbie Steinhauser is an architect known for her work on the design of the Van Abbemuseum.
-
C.
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."
-
D.
Libby Snyder
Libby Snyder is known as the spouse of American poet James Wright.
-
E.
Molly Ziegler
Molly Ziegler is a fictional character on the television series "The West Wing," known as the daughter of White House Communications Director Toby Ziegler.
- 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_69ca8310df9c8190b25f16161cca3e41 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb83116bf48190894bd5d5465520ef |
completed | March 31, 2026, 8:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce4db075c881909083b3384fcde344 |
completed | April 2, 2026, 11:06 a.m. |
| NEDg | Description generation | batch_69ce4f556a408190b404481a32b2457b |
completed | April 2, 2026, 11:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce503737a4819083ebf9f410eac826 |
completed | April 2, 2026, 11:17 a.m. |
Created at: March 30, 2026, 6:05 p.m.