Triple
T13119336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beth Harmon |
E311681
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object |
Elizabeth Harmon
Elizabeth Harmon is the fictional chess prodigy and troubled heroine of Walter Tevis's novel "The Queen's Gambit" and its popular Netflix miniseries adaptation.
|
E1050310
|
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: Elizabeth Harmon | Statement: [Beth Harmon, fullName, Elizabeth Harmon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elizabeth Harmon Context triple: [Beth Harmon, fullName, Elizabeth Harmon]
-
A.
Elizabeth Prall
Elizabeth Prall was an American bookseller and literary figure best known for her marriage to modernist writer Sherwood Anderson.
-
B.
Sara Harmon
Sara Harmon is the mother of Lucy Harmon.
-
C.
Sarah Winston
Sarah Winston was a colonial American woman best known as the mother of Founding Father and second U.S. President John Adams.
-
D.
Elizabeth Kortright
Elizabeth Kortright was an American socialite who became First Lady of the United States as the wife of President James Monroe.
-
E.
Elizabeth Hynes
Elizabeth Hynes was an early settler and prominent local figure after whom the city of Elizabethtown, Kentucky, was named.
- 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: Elizabeth Harmon Triple: [Beth Harmon, fullName, Elizabeth Harmon]
Generated description
Elizabeth Harmon is the fictional chess prodigy and troubled heroine of Walter Tevis's novel "The Queen's Gambit" and its popular Netflix miniseries adaptation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Elizabeth Harmon Target entity description: Elizabeth Harmon is the fictional chess prodigy and troubled heroine of Walter Tevis's novel "The Queen's Gambit" and its popular Netflix miniseries adaptation.
-
A.
Elizabeth Prall
Elizabeth Prall was an American bookseller and literary figure best known for her marriage to modernist writer Sherwood Anderson.
-
B.
Sara Harmon
Sara Harmon is the mother of Lucy Harmon.
-
C.
Sarah Winston
Sarah Winston was a colonial American woman best known as the mother of Founding Father and second U.S. President John Adams.
-
D.
Elizabeth Kortright
Elizabeth Kortright was an American socialite who became First Lady of the United States as the wife of President James Monroe.
-
E.
Elizabeth Hynes
Elizabeth Hynes was an early settler and prominent local figure after whom the city of Elizabethtown, Kentucky, was named.
- 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_69d806a9fe888190b081e2d9ea665d6c |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98196e69081909111407ee3d9f08e |
completed | April 10, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77f7696f0819094825b158e1e9a8c |
completed | May 3, 2026, 5:01 p.m. |
| NEDg | Description generation | batch_69f7800caaf0819085e553f96a9f99cf |
completed | May 3, 2026, 5:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f78089050c81909943164d1a41a37f |
completed | May 3, 2026, 5:06 p.m. |
Created at: April 9, 2026, 9:06 p.m.