Triple
T11343936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jon Hamm |
E268669
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Anna Osceola
Anna Osceola is an American actress known for her roles in television series such as "Mad Men" and "Law & Order: Special Victims Unit."
|
E920609
|
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: Anna Osceola | Statement: [Jon Hamm, spouse, Anna Osceola]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anna Osceola Context triple: [Jon Hamm, spouse, Anna Osceola]
-
A.
Osceola
Osceola was a prominent Seminole leader in the 19th century who became a symbol of Native American resistance to U.S. removal policies during the Second Seminole War.
-
B.
Osceola
Osceola is a small rural community located within the Whitewater Region of eastern Ontario, Canada.
-
C.
Osceola
Osceola is a pseudonym used by Danish author Karen Blixen, best known for her memoir "Out of Africa" and her short stories.
-
D.
Creola
Creola is a small city in Mobile County, Alabama, known as part of the Mobile metropolitan area in the southern United States.
-
E.
Coacoochee
Coacoochee, also known as Wild Cat, was a prominent Seminole war leader during the Second Seminole War who became renowned for his resistance to U.S. forces and his dramatic escape from imprisonment.
- 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: Anna Osceola Triple: [Jon Hamm, spouse, Anna Osceola]
Generated description
Anna Osceola is an American actress known for her roles in television series such as "Mad Men" and "Law & Order: Special Victims Unit."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anna Osceola Target entity description: Anna Osceola is an American actress known for her roles in television series such as "Mad Men" and "Law & Order: Special Victims Unit."
-
A.
Osceola
Osceola was a prominent Seminole leader in the 19th century who became a symbol of Native American resistance to U.S. removal policies during the Second Seminole War.
-
B.
Osceola
Osceola is a small rural community located within the Whitewater Region of eastern Ontario, Canada.
-
C.
Osceola
Osceola is a pseudonym used by Danish author Karen Blixen, best known for her memoir "Out of Africa" and her short stories.
-
D.
Creola
Creola is a small city in Mobile County, Alabama, known as part of the Mobile metropolitan area in the southern United States.
-
E.
Coacoochee
Coacoochee, also known as Wild Cat, was a prominent Seminole war leader during the Second Seminole War who became renowned for his resistance to U.S. forces and his dramatic escape from imprisonment.
- 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_69d6aacbe18081909e5fadb50082dd96 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea1f9574819089760c5b5908f09e |
completed | April 9, 2026, 6:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5436e9d848190a7e585351d24df03 |
completed | April 19, 2026, 9:04 p.m. |
| NEDg | Description generation | batch_69e5474aad3481909c1afb385cb5889b |
completed | April 19, 2026, 9:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e54edb9ac08190a760de11857e791c |
completed | April 19, 2026, 9:53 p.m. |
Created at: April 8, 2026, 9:33 p.m.