Triple
T10861185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joan Caulfield |
E256406
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Sally (TV series)
Sally is a 1950s American television sitcom starring Joan Caulfield as a young woman navigating work and romance in New York City.
|
E891264
|
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: Sally (TV series) | Statement: [Joan Caulfield, notableWork, Sally (TV series)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sally (TV series) Context triple: [Joan Caulfield, notableWork, Sally (TV series)]
-
A.
Sally (short story)
"Sally" is a science fiction short story by Isaac Asimov that explores themes of robotics and artificial intelligence through the tale of autonomous, positronic cars.
-
B.
Sally
Sally is the Allied reporting name for the Mitsubishi Ki-21, a Japanese twin-engine army bomber used extensively during World War II.
-
C.
Sally
Sally is one of the young children who serve as primary protagonists in Dr. Seuss's classic children's book "The Cat in the Hat."
-
D.
Sally
Sally is the given name of Sally K. Ride, the American physicist and astronaut who became the first American woman in space.
-
E.
Sally
Sally is the given name of the acclaimed American actress and director Sally Field.
- 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: Sally (TV series) Triple: [Joan Caulfield, notableWork, Sally (TV series)]
Generated description
Sally is a 1950s American television sitcom starring Joan Caulfield as a young woman navigating work and romance in New York City.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sally (TV series) Target entity description: Sally is a 1950s American television sitcom starring Joan Caulfield as a young woman navigating work and romance in New York City.
-
A.
Sally (short story)
"Sally" is a science fiction short story by Isaac Asimov that explores themes of robotics and artificial intelligence through the tale of autonomous, positronic cars.
-
B.
Sally
Sally is the Allied reporting name for the Mitsubishi Ki-21, a Japanese twin-engine army bomber used extensively during World War II.
-
C.
Sally
Sally is one of the young children who serve as primary protagonists in Dr. Seuss's classic children's book "The Cat in the Hat."
-
D.
Sally
Sally is the given name of Sally K. Ride, the American physicist and astronaut who became the first American woman in space.
-
E.
Sally
Sally is a common feminine given name, often used in English-speaking countries as a diminutive of Sarah.
- 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_69d6aa83d1448190a66d93c32394d21f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7515186f08190a5cc388a7d936c4f |
completed | April 9, 2026, 7:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dff7d350748190821a4413c1eb7106 |
completed | April 15, 2026, 8:40 p.m. |
| NEDg | Description generation | batch_69e0b498df2481908c964d53b1782774 |
completed | April 16, 2026, 10:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e11e21fc2c8190878a877ecd3b465e |
completed | April 16, 2026, 5:36 p.m. |
Created at: April 8, 2026, 9:20 p.m.