Triple
T10338579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Hagen |
E243069
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Theresa Hagen
Theresa Hagen is known as the wife of Tom Hagen, the fictional consigliere to the Corleone family in Mario Puzo's "The Godfather" series.
|
E856898
|
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: Theresa Hagen | Statement: [Tom Hagen, spouse, Theresa Hagen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Theresa Hagen Context triple: [Tom Hagen, spouse, Theresa Hagen]
-
A.
Dena Dietrich
Dena Dietrich was an American actress best known for her television work and iconic “Mother Nature” margarine commercials in the 1970s.
-
B.
Bobbie Carle
Bobbie Carle is best known as the wife of celebrated children's book author and illustrator Eric Carle.
-
C.
Lea Hurst
Lea Hurst is a historic country house in Derbyshire, England, best known as the childhood home of Florence Nightingale.
-
D.
Tiffy Gerhardt
Tiffy Gerhardt is a central character in the television drama series "The Unit," known for her role as the outspoken and resilient wife of one of the elite soldiers.
-
E.
Patty Dann
Patty Dann is an American novelist and memoirist best known for writing the coming-of-age novel "Mermaids," which was adapted into a popular 1990 film.
- 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: Theresa Hagen Triple: [Tom Hagen, spouse, Theresa Hagen]
Generated description
Theresa Hagen is known as the wife of Tom Hagen, the fictional consigliere to the Corleone family in Mario Puzo's "The Godfather" series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Theresa Hagen Target entity description: Theresa Hagen is known as the wife of Tom Hagen, the fictional consigliere to the Corleone family in Mario Puzo's "The Godfather" series.
-
A.
Dena Dietrich
Dena Dietrich was an American actress best known for her television work and iconic “Mother Nature” margarine commercials in the 1970s.
-
B.
Bobbie Carle
Bobbie Carle is best known as the wife of celebrated children's book author and illustrator Eric Carle.
-
C.
Lea Hurst
Lea Hurst is a historic country house in Derbyshire, England, best known as the childhood home of Florence Nightingale.
-
D.
Tiffy Gerhardt
Tiffy Gerhardt is a central character in the television drama series "The Unit," known for her role as the outspoken and resilient wife of one of the elite soldiers.
-
E.
Patty Dann
Patty Dann is an American novelist and memoirist best known for writing the coming-of-age novel "Mermaids," which was adapted into a popular 1990 film.
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e0a470948190959f298dd6110bf3 |
completed | April 7, 2026, 10:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7506278f881908b090b13706e5d4e |
completed | April 9, 2026, 7:08 a.m. |
| NEDg | Description generation | batch_69d75133588c819093af59327b951cd7 |
completed | April 9, 2026, 7:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d751d94a7081909fbe78fb6f76aef5 |
completed | April 9, 2026, 7:14 a.m. |
Created at: April 6, 2026, 11:54 a.m.