Triple
T17742502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clif Smart |
E442896
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Gail Smart
Gail Smart is known as the wife of Clif Smart, the president of Missouri State University.
|
E1285799
|
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: Gail Smart | Statement: [Clif Smart, spouse, Gail Smart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gail Smart Context triple: [Clif Smart, spouse, Gail Smart]
-
A.
Gillian Vigman
Gillian Vigman is an American actress and comedian known for her work in television, film, and voice acting, including roles in sketch comedy and animated series.
-
B.
Karrie Webb
Karrie Webb is an Australian professional golfer and World Golf Hall of Famer widely regarded as one of the greatest female golfers in history.
-
C.
Clare Hunter
Clare Hunter is the central character in the story "Teachers," around whom the narrative’s key events and relationships revolve.
-
D.
Ngaire Woods
Ngaire Woods is a New Zealand-born academic and founding dean of the Blavatnik School of Government at the University of Oxford, known for her work on global economic governance and international institutions.
-
E.
Rachael Gillett
Rachael Gillett is a journalist and editor known for her work in business, technology, and workplace culture media.
- 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: Gail Smart Triple: [Clif Smart, spouse, Gail Smart]
Generated description
Gail Smart is known as the wife of Clif Smart, the president of Missouri State University.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gail Smart Target entity description: Gail Smart is known as the wife of Clif Smart, the president of Missouri State University.
-
A.
Gillian Vigman
Gillian Vigman is an American actress and comedian known for her work in television, film, and voice acting, including roles in sketch comedy and animated series.
-
B.
Karrie Webb
Karrie Webb is an Australian professional golfer and World Golf Hall of Famer widely regarded as one of the greatest female golfers in history.
-
C.
Clare Hunter
Clare Hunter is the central character in the story "Teachers," around whom the narrative’s key events and relationships revolve.
-
D.
Ngaire Woods
Ngaire Woods is a New Zealand-born academic and founding dean of the Blavatnik School of Government at the University of Oxford, known for her work on global economic governance and international institutions.
-
E.
Rachael Gillett
Rachael Gillett is a journalist and editor known for her work in business, technology, and workplace culture media.
- 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47ace58988190b927ca29af7a8b77 |
completed | April 19, 2026, 6:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0242ff08408190a1bdd1434a55b7af |
completed | May 11, 2026, 8:58 p.m. |
| NEDg | Description generation | batch_6a024810afec8190bfe11b35bb1853ac |
completed | May 11, 2026, 9:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0248e4d7548190b23a70068868b2f9 |
completed | May 11, 2026, 9:23 p.m. |
Created at: April 10, 2026, 10:09 a.m.