Triple
T3086225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fatal Attraction |
E64378
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Beth Gallagher
Beth Gallagher is a central character in the psychological thriller "Fatal Attraction," known as the wronged wife whose life is upended by her husband's dangerous affair.
|
E335848
|
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: Beth Gallagher | Statement: [Fatal Attraction, mainCharacter, Beth Gallagher]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beth Gallagher Context triple: [Fatal Attraction, mainCharacter, Beth Gallagher]
-
A.
Lisa Rogers
Lisa Rogers is a member of the Rogers family, known as the daughter of Canadian businessman and media magnate Ted Rogers.
-
B.
Karen Cunningham
Karen Cunningham is known as the spouse of Ward Cunningham, the American computer programmer who created the first wiki.
-
C.
Ann McKean
Ann McKean was a daughter of Thomas McKean, a prominent American Founding Father and signer of the Declaration of Independence.
-
D.
Colleen Bell
Colleen Bell is an American television producer and political appointee who served as the U.S. Ambassador to Hungary.
-
E.
Renee Gadd
Renee Gadd was a British actress active in the 1930s and 1940s, known for her roles in British cinema and theatre.
- 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: Beth Gallagher Triple: [Fatal Attraction, mainCharacter, Beth Gallagher]
Generated description
Beth Gallagher is a central character in the psychological thriller "Fatal Attraction," known as the wronged wife whose life is upended by her husband's dangerous affair.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Beth Gallagher Target entity description: Beth Gallagher is a central character in the psychological thriller "Fatal Attraction," known as the wronged wife whose life is upended by her husband's dangerous affair.
-
A.
Lisa Rogers
Lisa Rogers is a member of the Rogers family, known as the daughter of Canadian businessman and media magnate Ted Rogers.
-
B.
Karen Cunningham
Karen Cunningham is known as the spouse of Ward Cunningham, the American computer programmer who created the first wiki.
-
C.
Ann McKean
Ann McKean was a daughter of Thomas McKean, a prominent American Founding Father and signer of the Declaration of Independence.
-
D.
Colleen Bell
Colleen Bell is an American television producer and political appointee who served as the U.S. Ambassador to Hungary.
-
E.
Renee Gadd
Renee Gadd was a British actress active in the 1930s and 1940s, known for her roles in British cinema and theatre.
- 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_69ad857bb4c88190a4cf27893fcabed8 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada1ec187c819084565514ebb99cdb |
completed | March 8, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b24b2a9b648190a74c7691cc7a4959 |
completed | March 12, 2026, 5:12 a.m. |
| NEDg | Description generation | batch_69b24e123ea08190a77a3e7f77107491 |
completed | March 12, 2026, 5:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b24e4aff6c81908004ed700a26883c |
completed | March 12, 2026, 5:25 a.m. |
Created at: March 8, 2026, 3:03 p.m.