Triple
T14253249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teletubbies |
E353321
|
entity |
| Predicate | hasMainCharacter |
P1183
|
FINISHED |
| Object |
Dipsy
Dipsy is one of the four colorful, toddler-like characters in the British children's television series "Teletubbies," recognizable by his green color and straight antenna.
|
E1089633
|
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: Dipsy | Statement: [Teletubbies, hasMainCharacter, Dipsy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dipsy Context triple: [Teletubbies, hasMainCharacter, Dipsy]
-
A.
Dippy Dawg
Dippy Dawg is the early name of Goofy, the tall, clumsy, and good-natured cartoon dog character created by Disney.
-
B.
Pippy
Pippy is an educational programming activity for the Sugar learning platform that lets children explore and write simple Python programs.
-
C.
Pudsey
Pudsey is a market town in West Yorkshire, England, situated between Leeds and Bradford.
-
D.
Roobaroo
"Roobaroo" is a popular, upbeat Hindi song from the acclaimed Indian film "Rang De Basanti," known for its inspirational lyrics and contemporary rock-influenced sound.
-
E.
Dudly
Dudly is an alternative spelling or variant form of the given name Dudley.
- 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: Dipsy Triple: [Teletubbies, hasMainCharacter, Dipsy]
Generated description
Dipsy is one of the four colorful, toddler-like characters in the British children's television series "Teletubbies," recognizable by his green color and straight antenna.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dipsy Target entity description: Dipsy is one of the four colorful, toddler-like characters in the British children's television series "Teletubbies," recognizable by his green color and straight antenna.
-
A.
Dippy Dawg
Dippy Dawg is the early name of Goofy, the tall, clumsy, and good-natured cartoon dog character created by Disney.
-
B.
Pippy
Pippy is an educational programming activity for the Sugar learning platform that lets children explore and write simple Python programs.
-
C.
Pudsey
Pudsey is a market town in West Yorkshire, England, situated between Leeds and Bradford.
-
D.
Roobaroo
"Roobaroo" is a popular, upbeat Hindi song from the acclaimed Indian film "Rang De Basanti," known for its inspirational lyrics and contemporary rock-influenced sound.
-
E.
Dudly
Dudly is an alternative spelling or variant form of the given name Dudley.
- 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_69fd325c98288190ba035fb5cc5bcf6b |
completed | May 8, 2026, 12:46 a.m. |
| NEDg | Description generation | batch_69fd33cba18481908f2dfe358017f11b |
completed | May 8, 2026, 12:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd346ffb9c81909ec28e514ea5451b |
completed | May 8, 2026, 12:55 a.m. |
Created at: April 10, 2026, 1:09 a.m.