Triple
T14001645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kirstie Alley |
E336838
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Bob Alley
Bob Alley is an American figure best known as the former husband of actress Kirstie Alley.
|
E1079106
|
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: Bob Alley | Statement: [Kirstie Alley, spouse, Bob Alley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bob Alley Context triple: [Kirstie Alley, spouse, Bob Alley]
-
A.
Ted Daughety
Ted Daughety is an American physician and pulmonologist best known as the husband of Kansas Governor Laura Kelly.
-
B.
Dennis Awtrey
Dennis Awtrey is a former American professional basketball center known for his defensive play and role as a key contributor on several NBA teams during the 1970s and early 1980s.
-
C.
Mitch Allee
Mitch Allee is an entrepreneur best known as a founder of the American low-cost airline Allegiant Air.
-
D.
Bill Wittliff
Bill Wittliff was an American screenwriter, author, and photographer best known for adapting and writing acclaimed Western-themed films and television miniseries.
-
E.
Brad Albetta
Brad Albetta is an American record producer, bassist, and audio engineer known for his work in the indie and folk-rock scenes and for collaborating extensively with singer-songwriter Martha Wainwright.
- 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: Bob Alley Triple: [Kirstie Alley, spouse, Bob Alley]
Generated description
Bob Alley is an American figure best known as the former husband of actress Kirstie Alley.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bob Alley Target entity description: Bob Alley is an American figure best known as the former husband of actress Kirstie Alley.
-
A.
Ted Daughety
Ted Daughety is an American physician and pulmonologist best known as the husband of Kansas Governor Laura Kelly.
-
B.
Dennis Awtrey
Dennis Awtrey is a former American professional basketball center known for his defensive play and role as a key contributor on several NBA teams during the 1970s and early 1980s.
-
C.
Mitch Allee
Mitch Allee is an entrepreneur best known as a founder of the American low-cost airline Allegiant Air.
-
D.
Bill Wittliff
Bill Wittliff was an American screenwriter, author, and photographer best known for adapting and writing acclaimed Western-themed films and television miniseries.
-
E.
Brad Albetta
Brad Albetta is an American record producer, bassist, and audio engineer known for his work in the indie and folk-rock scenes and for collaborating extensively with singer-songwriter Martha Wainwright.
- 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_69d81c645c5c8190b1fd16a285a1b78a |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2ed06a50819093ddc64f55050689 |
completed | April 14, 2026, 12:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcd0934b74819094ec7309c23a3e2a |
completed | May 7, 2026, 5:49 p.m. |
| NEDg | Description generation | batch_69fcd176632c8190aa7dee337688b043 |
completed | May 7, 2026, 5:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fcd28c1f0c819083b934a6afd656bf |
completed | May 7, 2026, 5:57 p.m. |
Created at: April 9, 2026, 10:19 p.m.