Triple
T15038949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blue’s Clues |
E378549
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
Magenta
Magenta is a pink puppy from the children's television series "Blue’s Clues," known as Blue’s friend who communicates through pawprint clues and barks.
|
E1133221
|
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: Magenta | Statement: [Blue’s Clues, featuresCharacter, Magenta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Magenta Context triple: [Blue’s Clues, featuresCharacter, Magenta]
-
A.
Magenta
Magenta is a railway station in Milan, Italy, served by the RER Line E suburban rail network.
-
B.
Magenta
Magenta is a town and municipality in the Lombardy region of northern Italy, historically known as the site of the 1859 Battle of Magenta.
-
C.
Magenta
Magenta is the gothic, wild-haired domestic servant and alien from the cult musical film "The Rocky Horror Picture Show," known for her eerie presence and participation in the movie’s iconic musical numbers.
-
D.
Magenta
Magenta is a settlement located within Wanica District in the South American country of Suriname.
-
E.
Magenta
Magenta is a coastal suburb on the Central Coast of New South Wales, Australia, known for its beaches, golf resort, and proximity to Tuggerah Lake.
- 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: Magenta Triple: [Blue’s Clues, featuresCharacter, Magenta]
Generated description
Magenta is a pink puppy from the children's television series "Blue’s Clues," known as Blue’s friend who communicates through pawprint clues and barks.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Magenta Target entity description: Magenta is a pink puppy from the children's television series "Blue’s Clues," known as Blue’s friend who communicates through pawprint clues and barks.
-
A.
Magenta
Magenta is a railway station in Milan, Italy, served by the RER Line E suburban rail network.
-
B.
Magenta
Magenta is a town and municipality in the Lombardy region of northern Italy, historically known as the site of the 1859 Battle of Magenta.
-
C.
Magenta
Magenta is the gothic, wild-haired domestic servant and alien from the cult musical film "The Rocky Horror Picture Show," known for her eerie presence and participation in the movie’s iconic musical numbers.
-
D.
Magenta
Magenta is a settlement located within Wanica District in the South American country of Suriname.
-
E.
Magenta
Magenta is a coastal suburb on the Central Coast of New South Wales, Australia, known for its beaches, golf resort, and proximity to Tuggerah Lake.
- 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded82cf3848190b0b2b6c9e65bc70b |
completed | April 15, 2026, 12:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9de1c3a48190a9b3959a95627175 |
completed | May 9, 2026, 2:37 a.m. |
| NEDg | Description generation | batch_69fe9fdba3c48190b1d370f7c066801f |
completed | May 9, 2026, 2:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fea0b87db881909607bcf0df5b0979 |
completed | May 9, 2026, 2:49 a.m. |
Created at: April 10, 2026, 2:59 a.m.