Triple
T9839541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Virgin Suicides |
E239185
|
entity |
| Predicate | mainCastMember |
P5563
|
FINISHED |
| Object |
Hanna R. Hall
Hanna R. Hall is an American actress best known for her roles in films such as "The Virgin Suicides" and "Forrest Gump."
|
E835615
|
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: Hanna R. Hall | Statement: [The Virgin Suicides, mainCastMember, Hanna R. Hall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hanna R. Hall Context triple: [The Virgin Suicides, mainCastMember, Hanna R. Hall]
-
A.
Rachel Hall
Rachel Hall was a young settler girl taken captive during the 1862 Indian Creek massacre in Illinois, whose abduction and later ransom became a noted episode in American frontier history.
-
B.
Helen Harrington
Helen Harrington is known as the wife of American minimalist painter Brice Marden.
-
C.
Helene Bradley
Helene Bradley is a fictional character appearing in Ernest Hemingway’s novel "To Have and Have Not."
-
D.
Helen Howell
Helen Howell is known as the spouse of George Barnes.
-
E.
Helen Hughes
Helen Hughes was a daughter of Charles Evans Hughes, the prominent American statesman who served as both U.S. Secretary of State and Chief Justice of the Supreme Court.
- 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: Hanna R. Hall Triple: [The Virgin Suicides, mainCastMember, Hanna R. Hall]
Generated description
Hanna R. Hall is an American actress best known for her roles in films such as "The Virgin Suicides" and "Forrest Gump."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hanna R. Hall Target entity description: Hanna R. Hall is an American actress best known for her roles in films such as "The Virgin Suicides" and "Forrest Gump."
-
A.
Rachel Hall
Rachel Hall was a young settler girl taken captive during the 1862 Indian Creek massacre in Illinois, whose abduction and later ransom became a noted episode in American frontier history.
-
B.
Helen Harrington
Helen Harrington is known as the wife of American minimalist painter Brice Marden.
-
C.
Helene Bradley
Helene Bradley is a fictional character appearing in Ernest Hemingway’s novel "To Have and Have Not."
-
D.
Helen Howell
Helen Howell is known as the spouse of George Barnes.
-
E.
Helen Hughes
Helen Hughes was a daughter of Charles Evans Hughes, the prominent American statesman who served as both U.S. Secretary of State and Chief Justice of the Supreme Court.
- 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_69ca84e3f0c48190ada72a65ebd50efd |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb34b045481908f89abd576aab497 |
completed | April 2, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d269b54d04819096ddc9f16a6db17b |
completed | April 5, 2026, 1:55 p.m. |
| NEDg | Description generation | batch_69d26b3e1b948190a76cf7ad91a1e0a5 |
completed | April 5, 2026, 2:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d26c0c9ee88190867f8531e9ffbf27 |
completed | April 5, 2026, 2:05 p.m. |
Created at: March 30, 2026, 8:33 p.m.