Triple
T14253241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teletubbies |
E353321
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object |
Andrew Davenport
Andrew Davenport is a British television writer and producer best known for creating the preschool series "Teletubbies."
|
E1108891
|
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: Andrew Davenport | Statement: [Teletubbies, creator, Andrew Davenport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andrew Davenport Context triple: [Teletubbies, creator, Andrew Davenport]
-
A.
Adam Davenport
Adam Davenport is a bionic teenager with super strength and limited intelligence from the Disney XD series "Lab Rats."
-
B.
Andrew Crawford
Andrew Crawford is a relatively common personal name shared by multiple individuals across various professions, including sports, academia, and the arts.
-
C.
Andrew Cody
Andrew Cody is an individual known by the nickname "Pope," suggesting a distinctive or notable personal or public persona.
-
D.
Alex Datcher
Alex Datcher is an American actress best known for her role as a flight attendant alongside Wesley Snipes in the 1992 action film "Passenger 57."
-
E.
Andrew Jenkins
Andrew Jenkins is a British businessman best known for his long-serving leadership role as chairman of Carlisle United Football Club.
- 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: Andrew Davenport Triple: [Teletubbies, creator, Andrew Davenport]
Generated description
Andrew Davenport is a British television writer and producer best known for creating the preschool series "Teletubbies."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Andrew Davenport Target entity description: Andrew Davenport is a British television writer and producer best known for creating the preschool series "Teletubbies."
-
A.
Adam Davenport
Adam Davenport is a bionic teenager with super strength and limited intelligence from the Disney XD series "Lab Rats."
-
B.
Andrew Crawford
Andrew Crawford is a relatively common personal name shared by multiple individuals across various professions, including sports, academia, and the arts.
-
C.
Andrew Cody
Andrew Cody is an individual known by the nickname "Pope," suggesting a distinctive or notable personal or public persona.
-
D.
Alex Datcher
Alex Datcher is an American actress best known for her role as a flight attendant alongside Wesley Snipes in the 1992 action film "Passenger 57."
-
E.
Andrew Jenkins
Andrew Jenkins is a British businessman best known for his long-serving leadership role as chairman of Carlisle United Football Club.
- 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_69d8278c43e08190824146f4632b89a5 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6297f38c819090d7c7fd8bfa2e9e |
completed | April 14, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd949df6688190ac92f7e0945bce02 |
completed | May 8, 2026, 7:45 a.m. |
| NEDg | Description generation | batch_69fd9818cc6081908f2b628abd983973 |
completed | May 8, 2026, 8 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd98b320108190b7d4c43bfd4038fb |
completed | May 8, 2026, 8:02 a.m. |
Created at: April 10, 2026, 1:09 a.m.