Triple
T12096286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Smith |
E288078
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Helen Smith
Helen Smith is an individual known primarily as the spouse of John Smith.
|
E1057882
|
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 Smith | Statement: [John Smith, spouse, Helen Smith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Helen Smith Context triple: [John Smith, spouse, Helen Smith]
-
A.
Helen Brown
Helen Brown is an actress known for her role in the classic "The Twilight Zone" episode "Walking Distance."
-
B.
Helen Wright
Helen Wright is a wealthy, emotionally volatile socialite who becomes romantically entangled with a young violin prodigy in the film "Humoresque."
-
C.
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.
-
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.
Helen Graham
Helen Graham is the resilient and independent heroine of Anne Brontë’s novel "The Tenant of Wildfell Hall," known for fleeing an abusive marriage to protect herself and her child.
- 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 Smith Triple: [John Smith, spouse, Helen Smith]
Generated description
Helen Smith is an individual known primarily as the spouse of John Smith.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Helen Smith Target entity description: Helen Smith is an individual known primarily as the spouse of John Smith.
-
A.
Helen Brown
Helen Brown is an actress known for her role in the classic "The Twilight Zone" episode "Walking Distance."
-
B.
Helen Wright
Helen Wright is a wealthy, emotionally volatile socialite who becomes romantically entangled with a young violin prodigy in the film "Humoresque."
-
C.
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.
-
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.
Helen Graham
Helen Graham is the resilient and independent heroine of Anne Brontë’s novel "The Tenant of Wildfell Hall," known for fleeing an abusive marriage to protect herself and her child.
- 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_69d6ab4964708190850585628b287b0c |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d91552645c81909aff601ab3d3c0e6 |
completed | April 10, 2026, 3:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d2da6b48190bdd974fa9520bc87 |
completed | May 3, 2026, 7:08 p.m. |
| NEDg | Description generation | batch_69f7a18eb038819089fcbf961a94cb0c |
completed | May 3, 2026, 7:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7a2234390819093814fd435f9c42c |
completed | May 3, 2026, 7:29 p.m. |
Created at: April 8, 2026, 9:48 p.m.