Triple
T13366883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kara Kennedy |
E318961
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Michael Allen
Michael Allen is an American lawyer best known as the husband of Kara Kennedy, the daughter of U.S. Senator Ted Kennedy.
|
E1037667
|
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: Michael Allen | Statement: [Kara Kennedy, spouse, Michael Allen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Allen Context triple: [Kara Kennedy, spouse, Michael Allen]
-
A.
Michael Kelso
Michael Kelso is a dim-witted yet charming and good-looking teenager portrayed by Ashton Kutcher on the sitcom "That '70s Show."
-
B.
Michael Henderson
Michael Henderson is an author best known for writing the book "Window Seat."
-
C.
Marvin Scandrick
Marvin Scandrick, better known as Slim, is an American R&B singer and member of the group 112, recognized for his distinctive falsetto vocals and contributions to early-2000s R&B hits.
-
D.
Allen Hoskins
Allen Hoskins was an American child actor best known for his role as Farina in the early Our Gang (Little Rascals) comedy shorts.
-
E.
John Sims
John Sims is the protagonist of King Vidor’s 1928 silent film "The Crowd," representing the struggles and aspirations of an ordinary man in modern urban society.
- 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: Michael Allen Triple: [Kara Kennedy, spouse, Michael Allen]
Generated description
Michael Allen is an American lawyer best known as the husband of Kara Kennedy, the daughter of U.S. Senator Ted Kennedy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Allen Target entity description: Michael Allen is an American lawyer best known as the husband of Kara Kennedy, the daughter of U.S. Senator Ted Kennedy.
-
A.
Michael Kelso
Michael Kelso is a dim-witted yet charming and good-looking teenager portrayed by Ashton Kutcher on the sitcom "That '70s Show."
-
B.
Michael Henderson
Michael Henderson is an author best known for writing the book "Window Seat."
-
C.
Marvin Scandrick
Marvin Scandrick, better known as Slim, is an American R&B singer and member of the group 112, recognized for his distinctive falsetto vocals and contributions to early-2000s R&B hits.
-
D.
Allen Hoskins
Allen Hoskins was an American child actor best known for his role as Farina in the early Our Gang (Little Rascals) comedy shorts.
-
E.
John Sims
John Sims is the protagonist of King Vidor’s 1928 silent film "The Crowd," representing the struggles and aspirations of an ordinary man in modern urban society.
- 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_69d806b7bbac8190b85278c87fa7aff3 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dadcd652d48190a782fd1f57f34b6a |
completed | April 11, 2026, 11:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f72680df088190b8dbcc8ad0d7366e |
completed | May 3, 2026, 10:42 a.m. |
| NEDg | Description generation | batch_69f727512c94819091985c7942f40b31 |
completed | May 3, 2026, 10:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f72b77d650819092c02f6488b2cfb2 |
completed | May 3, 2026, 11:03 a.m. |
Created at: April 9, 2026, 9:32 p.m.