Triple
T11951995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gene Green |
E284447
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Helen Green
Helen Green is known as the wife of former U.S. Congressman Gene Green.
|
E1004152
|
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 Green | Statement: [Gene Green, spouse, Helen Green]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Helen Green Context triple: [Gene Green, spouse, Helen Green]
-
A.
Helen Brown
Helen Brown is an actress known for her role in the classic "The Twilight Zone" episode "Walking Distance."
-
B.
Helen Horton
Helen Horton was an American actress best known for her film, television, and voice work, including voicing the ship's computer "Mother" in the 1979 science fiction film Alien.
-
C.
Helen Harrington
Helen Harrington is known as the wife of American minimalist painter Brice Marden.
-
D.
Helen Willis
Helen Willis is a central character on the sitcom "The Jeffersons," known as Louise Jefferson’s close friend and one half of the show’s groundbreaking interracial couple.
-
E.
Amy Hewitt Green
Amy Hewitt Green was a key early benefactor and co-founder associated with the origins of what became the Cooper Hewitt, Smithsonian Design Museum in New York City.
- 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 Green Triple: [Gene Green, spouse, Helen Green]
Generated description
Helen Green is known as the wife of former U.S. Congressman Gene Green.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Helen Green Target entity description: Helen Green is known as the wife of former U.S. Congressman Gene Green.
-
A.
Helen Brown
Helen Brown is an actress known for her role in the classic "The Twilight Zone" episode "Walking Distance."
-
B.
Helen Horton
Helen Horton was an American actress best known for her film, television, and voice work, including voicing the ship's computer "Mother" in the 1979 science fiction film Alien.
-
C.
Helen Harrington
Helen Harrington is known as the wife of American minimalist painter Brice Marden.
-
D.
Helen Willis
Helen Willis is a central character on the sitcom "The Jeffersons," known as Louise Jefferson’s close friend and one half of the show’s groundbreaking interracial couple.
-
E.
Amy Hewitt Green
Amy Hewitt Green was a key early benefactor and co-founder associated with the origins of what became the Cooper Hewitt, Smithsonian Design Museum in New York City.
- 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_69d6ab2db38c8190b1f0ed6663ef8ada |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90364c2608190a3946c9595c71164 |
completed | April 10, 2026, 2:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f68e9d94b48190b026d5a0ad3d6ce7 |
completed | May 2, 2026, 11:54 p.m. |
| NEDg | Description generation | batch_69f691341d0081909ca3b281ee64b42b |
completed | May 3, 2026, 12:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f692361c3c81909078a19be1a86231 |
completed | May 3, 2026, 12:09 a.m. |
Created at: April 8, 2026, 9:45 p.m.