Triple
T5320214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mrs. Anna Smith |
E121653
|
entity |
| Predicate | hasSpouse |
P13
|
FINISHED |
| Object |
Alonzo Smith
Alonzo Smith is the husband of Mrs. Anna Smith, known primarily in relation to her.
|
E513664
|
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: Alonzo Smith | Statement: [Mrs. Anna Smith, hasSpouse, Alonzo Smith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alonzo Smith Context triple: [Mrs. Anna Smith, hasSpouse, Alonzo Smith]
-
A.
Allen George
Allen George is a writer best known for his work on the film "Fade."
-
B.
Jackson Graham
Jackson Graham was an American civil engineer and U.S. Army officer who became the first general manager of the Washington Metropolitan Area Transit Authority (WMATA).
-
C.
Earl Thomas
Earl Thomas is a former NFL free safety best known as a cornerstone of the Seattle Seahawks' "Legion of Boom" defense and a key contributor to their Super Bowl XLVIII championship.
-
D.
Earl Williams
Earl Williams is a pivotal accused murderer whose case drives the fast-paced newsroom drama and darkly comic chaos in the play "The Front Page."
-
E.
Jonathan Owens
Jonathan Owens is an American professional football safety in the NFL who gained additional public attention through his marriage to gymnast Simone Biles.
- 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: Alonzo Smith Triple: [Mrs. Anna Smith, hasSpouse, Alonzo Smith]
Generated description
Alonzo Smith is the husband of Mrs. Anna Smith, known primarily in relation to her.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alonzo Smith Target entity description: Alonzo Smith is the husband of Mrs. Anna Smith, known primarily in relation to her.
-
A.
Allen George
Allen George is a writer best known for his work on the film "Fade."
-
B.
Jackson Graham
Jackson Graham was an American civil engineer and U.S. Army officer who became the first general manager of the Washington Metropolitan Area Transit Authority (WMATA).
-
C.
Earl Thomas
Earl Thomas is a former NFL free safety best known as a cornerstone of the Seattle Seahawks' "Legion of Boom" defense and a key contributor to their Super Bowl XLVIII championship.
-
D.
Earl Williams
Earl Williams is a pivotal accused murderer whose case drives the fast-paced newsroom drama and darkly comic chaos in the play "The Front Page."
-
E.
Jonathan Owens
Jonathan Owens is an American professional football safety in the NFL who gained additional public attention through his marriage to gymnast Simone Biles.
- 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_69bd463d956c819088105c3db802c017 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd8574c4b48190a0513ce59eedb564 |
completed | March 20, 2026, 5:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf21b8692881908f04d8cfd7d3d10d |
completed | March 21, 2026, 10:54 p.m. |
| NEDg | Description generation | batch_69bf232d7a888190878f7a3ce769dd83 |
completed | March 21, 2026, 11:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf23c3ad9c8190b84a31a4b8fe8fca |
completed | March 21, 2026, 11:03 p.m. |
Created at: March 20, 2026, 1:59 p.m.