Triple
T7731751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Barnes |
E175275
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Helen Howell
Helen Howell is known as the spouse of George Barnes.
|
E833228
|
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: Helen Howell | Statement: [George Barnes, spouse, Helen Howell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Helen Howell Context triple: [George Barnes, spouse, Helen Howell]
-
A.
Helen Vinson
Helen Vinson was an American film actress of the 1930s and 1940s, often cast in sophisticated or morally ambiguous roles in Hollywood dramas and crime films.
-
B.
Helen Harrington
Helen Harrington is known as the wife of American minimalist painter Brice Marden.
-
C.
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.
-
D.
Helen Wright
Helen Wright is a wealthy, emotionally volatile socialite who becomes romantically entangled with a young violin prodigy in the film "Humoresque."
-
E.
Helen Ferguson
Helen Ferguson was an American silent film actress prominent in the 1910s and 1920s who later became a successful Hollywood publicist.
- 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: Helen Howell Triple: [George Barnes, spouse, Helen Howell]
Generated description
Helen Howell is known as the spouse of George Barnes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Helen Howell Target entity description: Helen Howell is known as the spouse of George Barnes.
-
A.
Helen Vinson
Helen Vinson was an American film actress of the 1930s and 1940s, often cast in sophisticated or morally ambiguous roles in Hollywood dramas and crime films.
-
B.
Helen Harrington
Helen Harrington is known as the wife of American minimalist painter Brice Marden.
-
C.
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.
-
D.
Helen Wright
Helen Wright is a wealthy, emotionally volatile socialite who becomes romantically entangled with a young violin prodigy in the film "Humoresque."
-
E.
Helen Ferguson
Helen Ferguson was an American silent film actress prominent in the 1910s and 1920s who later became a successful Hollywood publicist.
- 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_69c6995e912c81909a49a2657103f786 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c70336aafc819099a060950ab8922f |
completed | March 27, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2571ac8ec8190bf59c2cec5e2e6e2 |
completed | April 5, 2026, 12:35 p.m. |
| NEDg | Description generation | batch_69d25889b0f08190a28c5401417fe3cc |
completed | April 5, 2026, 12:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d25977ab988190969ed8ff8eb53ddd |
completed | April 5, 2026, 12:45 p.m. |
Created at: March 27, 2026, 4:06 p.m.