Triple
T11192731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fanfare of Love |
E264840
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Betty Stockfeld
Betty Stockfeld was an Australian-born film and stage actress active in British and French cinema during the 1930s and 1940s.
|
E964131
|
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: Betty Stockfeld | Statement: [Fanfare of Love, castMember, Betty Stockfeld]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Betty Stockfeld Context triple: [Fanfare of Love, castMember, Betty Stockfeld]
-
A.
Betty Behrens
Betty Behrens was a British historian known for her influential work on early modern European history and economic institutions.
-
B.
Elizabeth Baur
Elizabeth Baur was an American television actress best known for her role as Officer Fran Belding on the crime drama series "Ironside."
-
C.
Betty Willis
Betty Willis was an American graphic designer best known for creating the iconic "Welcome to Fabulous Las Vegas" sign, a landmark symbol of the city and mid-20th-century neon design.
-
D.
Betty Heminger
Betty Heminger was the wife of American singer and television host Tennessee Ernie Ford.
-
E.
Betty Furness
Betty Furness was an American actress and television personality best known for her film roles in the 1930s and later as a pioneering consumer affairs advocate on TV.
- 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: Betty Stockfeld Triple: [Fanfare of Love, castMember, Betty Stockfeld]
Generated description
Betty Stockfeld was an Australian-born film and stage actress active in British and French cinema during the 1930s and 1940s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Betty Stockfeld Target entity description: Betty Stockfeld was an Australian-born film and stage actress active in British and French cinema during the 1930s and 1940s.
-
A.
Betty Behrens
Betty Behrens was a British historian known for her influential work on early modern European history and economic institutions.
-
B.
Elizabeth Baur
Elizabeth Baur was an American television actress best known for her role as Officer Fran Belding on the crime drama series "Ironside."
-
C.
Betty Willis
Betty Willis was an American graphic designer best known for creating the iconic "Welcome to Fabulous Las Vegas" sign, a landmark symbol of the city and mid-20th-century neon design.
-
D.
Betty Heminger
Betty Heminger was the wife of American singer and television host Tennessee Ernie Ford.
-
E.
Betty Furness
Betty Furness was an American actress and television personality best known for her film roles in the 1930s and later as a pioneering consumer affairs advocate on TV.
- 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_69d6aa9eb9248190b20211772621b4bc |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8be025481909d311b587418dfb2 |
completed | April 9, 2026, 5:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f62fa15081909e7c71d8feda7391 |
completed | May 2, 2026, 1:03 p.m. |
| NEDg | Description generation | batch_69f5ff815b748190932bfe163ea2847d |
completed | May 2, 2026, 1:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f60185ce8c8190abe3b1f633aac55d |
completed | May 2, 2026, 1:52 p.m. |
Created at: April 8, 2026, 9:29 p.m.