Triple
T10512449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love and Hisses |
E247948
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object |
Joan Davis
Joan Davis was an American comedic actress best known for her work in radio, film, and the early television sitcom "I Married Joan."
|
E939753
|
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: Joan Davis | Statement: [Love and Hisses, hasCastMember, Joan Davis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joan Davis Context triple: [Love and Hisses, hasCastMember, Joan Davis]
-
A.
Joan Anderson
Joan Anderson is the birth name of Joni Mitchell, the influential Canadian singer-songwriter and painter.
-
B.
Joan Winfield
Joan Winfield is a fictional heiress character in the 1941 romantic comedy film "The Bride Came C.O.D.," portrayed by actress Bette Davis.
-
C.
Joan Murray
Joan Murray was the wife of famed British World War II flying ace and double amputee Sir Douglas Bader.
-
D.
Eileen Morrow
Eileen Morrow is a person notable enough to be recognized as a significant bearer of the surname Morrow.
-
E.
Joan Barclay
Joan Barclay was an American film actress known for her numerous roles in low-budget Westerns and B-movies during the 1930s and 1940s.
- 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: Joan Davis Triple: [Love and Hisses, hasCastMember, Joan Davis]
Generated description
Joan Davis was an American comedic actress best known for her work in radio, film, and the early television sitcom "I Married Joan."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Joan Davis Target entity description: Joan Davis was an American comedic actress best known for her work in radio, film, and the early television sitcom "I Married Joan."
-
A.
Joan Anderson
Joan Anderson is the birth name of Joni Mitchell, the influential Canadian singer-songwriter and painter.
-
B.
Joan Winfield
Joan Winfield is a fictional heiress character in the 1941 romantic comedy film "The Bride Came C.O.D.," portrayed by actress Bette Davis.
-
C.
Joan Murray
Joan Murray was the wife of famed British World War II flying ace and double amputee Sir Douglas Bader.
-
D.
Eileen Morrow
Eileen Morrow is a person notable enough to be recognized as a significant bearer of the surname Morrow.
-
E.
Joan Barclay
Joan Barclay was an American film actress known for her numerous roles in low-budget Westerns and B-movies during the 1930s and 1940s.
- 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_69d381c4aa948190942e1d803143fb0e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509ca214481909b3ed9265e7a6704 |
completed | April 7, 2026, 1:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef1243b14081909d07ab0ebb32cc68 |
completed | April 27, 2026, 7:37 a.m. |
| NEDg | Description generation | batch_69ef354b3b3c8190b1c91dbf9c705a7d |
completed | April 27, 2026, 10:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ef5170ce9881908f2ecf3d5ada809a |
completed | April 27, 2026, 12:07 p.m. |
Created at: April 6, 2026, 12:27 p.m.