Triple
T14307709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tiffani Thiessen |
E354739
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object |
Alexa & Katie
Alexa & Katie is a Netflix teen sitcom that follows two best friends navigating high school together while one of them undergoes cancer treatment.
|
E1090998
|
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: Alexa & Katie | Statement: [Tiffani Thiessen, knownFor, Alexa & Katie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alexa & Katie Context triple: [Tiffani Thiessen, knownFor, Alexa & Katie]
-
A.
Katie
"Katie" is a daytime talk show hosted by journalist and television personality Katie Couric that aired in the early 2010s.
-
B.
Katie
Katie is a feminine given name, often used as a diminutive of Katherine or Kathleen.
-
C.
Katie
"Katie" is a horror novel by Michael McDowell, known for its chilling exploration of a seemingly ordinary child with terrifying supernatural powers.
-
D.
Katie
Katie is the central protagonist of the series "Devs," around whom the show's mysterious and philosophical narrative revolves.
-
E.
Kate & Allie
Kate & Allie is an American sitcom from the 1980s that follows two divorced women who move in together with their children to navigate single parenthood and modern family life.
- 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: Alexa & Katie Triple: [Tiffani Thiessen, knownFor, Alexa & Katie]
Generated description
Alexa & Katie is a Netflix teen sitcom that follows two best friends navigating high school together while one of them undergoes cancer treatment.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alexa & Katie Target entity description: Alexa & Katie is a Netflix teen sitcom that follows two best friends navigating high school together while one of them undergoes cancer treatment.
-
A.
Katie
"Katie" is a daytime talk show hosted by journalist and television personality Katie Couric that aired in the early 2010s.
-
B.
Katie
Katie is a feminine given name, often used as a diminutive of Katherine or Kathleen.
-
C.
Katie
"Katie" is a horror novel by Michael McDowell, known for its chilling exploration of a seemingly ordinary child with terrifying supernatural powers.
-
D.
Katie
Katie is the central protagonist of the series "Devs," around whom the show's mysterious and philosophical narrative revolves.
-
E.
Kate & Allie
Kate & Allie is an American sitcom from the 1980s that follows two divorced women who move in together with their children to navigate single parenthood and modern family life.
- 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_69d8278ed42c8190b9f882dcce611347 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de85b156b0819083f2bd319deed1b6 |
completed | April 14, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3d2c32648190bc8bb26d57df57f5 |
completed | May 8, 2026, 1:32 a.m. |
| NEDg | Description generation | batch_69fd3e3d3e2c81909945253c26e19cee |
completed | May 8, 2026, 1:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd3ebe4f008190aec72ed7e23c4cd4 |
completed | May 8, 2026, 1:39 a.m. |
Created at: April 10, 2026, 1:12 a.m.