Triple
T12424688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thank God It's Friday |
E296866
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object |
Andrea Howard
Andrea Howard is an American actress best known for her film and television work in the 1970s and 1980s, including roles in comedies and sitcoms.
|
E1073580
|
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: Andrea Howard | Statement: [Thank God It's Friday, hasCastMember, Andrea Howard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andrea Howard Context triple: [Thank God It's Friday, hasCastMember, Andrea Howard]
-
A.
Jennifer Howard
Jennifer Howard was an American actress and the daughter of playwright Sidney Howard and actress Clare Eames, known for her work on stage and screen in the mid-20th century.
-
B.
Sandra Howard
Sandra Howard is a British former fashion model and novelist who became known as the wife of Conservative politician Michael Howard.
-
C.
Mary Beth Hughes
Mary Beth Hughes was an American film and television actress best known for her roles in 1940s Hollywood dramas and crime films.
-
D.
Larissa Howard
Larissa Howard is known as the daughter of British military historian and politician Michael Howard.
-
E.
Mary Beth Johnson
Mary Beth Johnson is known as the wife of American Western film actor Charles Starrett.
- 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: Andrea Howard Triple: [Thank God It's Friday, hasCastMember, Andrea Howard]
Generated description
Andrea Howard is an American actress best known for her film and television work in the 1970s and 1980s, including roles in comedies and sitcoms.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Andrea Howard Target entity description: Andrea Howard is an American actress best known for her film and television work in the 1970s and 1980s, including roles in comedies and sitcoms.
-
A.
Jennifer Howard
Jennifer Howard was an American actress and the daughter of playwright Sidney Howard and actress Clare Eames, known for her work on stage and screen in the mid-20th century.
-
B.
Sandra Howard
Sandra Howard is a British former fashion model and novelist who became known as the wife of Conservative politician Michael Howard.
-
C.
Mary Beth Hughes
Mary Beth Hughes was an American film and television actress best known for her roles in 1940s Hollywood dramas and crime films.
-
D.
Larissa Howard
Larissa Howard is known as the daughter of British military historian and politician Michael Howard.
-
E.
Mary Beth Johnson
Mary Beth Johnson is known as the wife of American Western film actor Charles Starrett.
- 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_69d6ada0640c81908c061d7fb3d47786 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d7b6bd08190b30beba393a5b1e7 |
completed | April 10, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbac73848481909303e833041ebc90 |
completed | May 6, 2026, 9:02 p.m. |
| NEDg | Description generation | batch_69fbae8f83f481909ac16d4bb66ea79d |
completed | May 6, 2026, 9:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fbaf702c94819095347e2599ae9931 |
completed | May 6, 2026, 9:15 p.m. |
Created at: April 8, 2026, 9:55 p.m.