Triple
T7425422
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Wright |
E171355
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Libby Snyder
Libby Snyder is known as the spouse of American poet James Wright.
|
E688984
|
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: Libby Snyder | Statement: [James Wright, spouse, Libby Snyder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Libby Snyder Context triple: [James Wright, spouse, Libby Snyder]
-
A.
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."
-
B.
Libby Leist
Libby Leist is a television news executive best known for her leadership role as an executive producer at NBC’s "Today" show.
-
C.
Autumn Snyder
Autumn Snyder was the late daughter of filmmaker Zack Snyder, remembered for her aspiring writing career and the profound impact her death had on her father's life and work.
-
D.
Annalee Whitmore
Annalee Whitmore is a screenwriter known for her work on the classic musical film "Babes in Arms."
-
E.
Amber Coffman
Amber Coffman is an American singer, songwriter, and guitarist best known as a former member of the indie rock band Dirty Projectors and for her collaborations across indie and electronic music.
- 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: Libby Snyder Triple: [James Wright, spouse, Libby Snyder]
Generated description
Libby Snyder is known as the spouse of American poet James Wright.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Libby Snyder Target entity description: Libby Snyder is known as the spouse of American poet James Wright.
-
A.
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."
-
B.
Libby Leist
Libby Leist is a television news executive best known for her leadership role as an executive producer at NBC’s "Today" show.
-
C.
Autumn Snyder
Autumn Snyder was the late daughter of filmmaker Zack Snyder, remembered for her aspiring writing career and the profound impact her death had on her father's life and work.
-
D.
Annalee Whitmore
Annalee Whitmore is a screenwriter known for her work on the classic musical film "Babes in Arms."
-
E.
Amber Coffman
Amber Coffman is an American singer, songwriter, and guitarist best known as a former member of the indie rock band Dirty Projectors and for her collaborations across indie and electronic music.
- 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_69c68a625d048190af70eb8b63bec5a0 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f303eb988190ba9df7946fce1c86 |
completed | March 27, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8eef3b7a88190bb42b5f93ce2daba |
completed | March 29, 2026, 9:20 a.m. |
| NEDg | Description generation | batch_69c8ef8e68b88190b30389f7f7482ecd |
completed | March 29, 2026, 9:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8efc9cdf081908a777a04453a50bc |
completed | March 29, 2026, 9:24 a.m. |
Created at: March 27, 2026, 3:12 p.m.