Triple
T2591587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Green River Cemetery |
E58132
|
entity |
| Predicate | hasBurial |
P196
|
FINISHED |
| Object |
Elaine Benson
Elaine Benson was an American art dealer and gallery owner known for her influential role in the Hamptons art scene.
|
E318424
|
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: Elaine Benson | Statement: [Green River Cemetery, hasBurial, Elaine Benson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elaine Benson Context triple: [Green River Cemetery, hasBurial, Elaine Benson]
-
A.
Elaine Mason
Elaine Mason was a British nurse who became the second wife of theoretical physicist Stephen Hawking.
-
B.
Elaine
"Elaine" is the B-side track to ABBA's hit single "The Winner Takes It All," known among fans as one of the group's lesser-known pop songs.
-
C.
Elaine Robinson
Elaine Robinson is the young woman in the film "The Graduate" who becomes the romantic focus of Benjamin Braddock and the daughter of his older lover, Mrs. Robinson.
-
D.
Sally Benson
Sally Benson was an American author and screenwriter best known for her semi-autobiographical stories that inspired the classic film "Meet Me in St. Louis."
-
E.
Eloise Mumford
Eloise Mumford is an American actress known for her supporting role as Kate Kavanagh in the Fifty Shades film series and for her work in both television and independent films.
- 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: Elaine Benson Triple: [Green River Cemetery, hasBurial, Elaine Benson]
Generated description
Elaine Benson was an American art dealer and gallery owner known for her influential role in the Hamptons art scene.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Elaine Benson Target entity description: Elaine Benson was an American art dealer and gallery owner known for her influential role in the Hamptons art scene.
-
A.
Elaine Mason
Elaine Mason was a British nurse who became the second wife of theoretical physicist Stephen Hawking.
-
B.
Elaine
"Elaine" is the B-side track to ABBA's hit single "The Winner Takes It All," known among fans as one of the group's lesser-known pop songs.
-
C.
Elaine Robinson
Elaine Robinson is the young woman in the film "The Graduate" who becomes the romantic focus of Benjamin Braddock and the daughter of his older lover, Mrs. Robinson.
-
D.
Sally Benson
Sally Benson was an American author and screenwriter best known for her semi-autobiographical stories that inspired the classic film "Meet Me in St. Louis."
-
E.
Eloise Mumford
Eloise Mumford is an American actress known for her supporting role as Kate Kavanagh in the Fifty Shades film series and for her work in both television and independent films.
- 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_69ab4ac019c8819094add11c46706e32 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd425851c819088db89713c07056f |
completed | March 7, 2026, 7:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b12df6ad908190b0b484b6fd82ffb5 |
completed | March 11, 2026, 8:55 a.m. |
| NEDg | Description generation | batch_69b12fbbd9588190aa0529e264864199 |
completed | March 11, 2026, 9:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b1cb6571388190970bae846bfc57a2 |
completed | March 11, 2026, 8:07 p.m. |
Created at: March 6, 2026, 9:49 p.m.