Triple
T15038939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blue’s Clues |
E378549
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Joe
Joe is a human host character from the children's television series "Blue’s Clues," who succeeds Steve in guiding viewers through educational clue-finding adventures.
|
E1136082
|
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: Joe | Statement: [Blue’s Clues, mainCharacter, Joe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joe Context triple: [Blue’s Clues, mainCharacter, Joe]
-
A.
Joe
Joe is a central character in the classic 1959 comedy film "Some Like It Hot," where he is one of two musicians who disguise themselves as women to escape mobsters.
-
B.
Joe
Joe is a notable artwork created by Japanese photographer and artist Hiroshi Sugimoto.
-
C.
Joe
Joe is the given name of Joe Oros, an American automobile designer best known for leading the design of the original Ford Mustang.
-
D.
Joe
Joe is a central immortal warrior in the film "The Old Guard," known for his deep bond with fellow immortal Nicky and his role in the covert team of centuries-old fighters.
-
E.
Joe
Joe is the given name of American actor Joe Spano, known for his roles in television series such as "Hill Street Blues" and "NCIS."
- 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: Joe Triple: [Blue’s Clues, mainCharacter, Joe]
Generated description
Joe is a human host character from the children's television series "Blue’s Clues," who succeeds Steve in guiding viewers through educational clue-finding adventures.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Joe Target entity description: Joe is a human host character from the children's television series "Blue’s Clues," who succeeds Steve in guiding viewers through educational clue-finding adventures.
-
A.
Joe
Joe is a fictional character played by American actor Hector Elizondo, known from his roles in film and television.
-
B.
Joe
Joe is the given name of American actor Joe Spano, known for his roles in television series such as "Hill Street Blues" and "NCIS."
-
C.
Joe
Joe is the given name of the fictional character Inspector Joe Dominguez.
-
D.
Joe
Joe is the given name of Joe Nickell, an American investigator and author known for his work examining alleged paranormal and mysterious phenomena.
-
E.
Joe
Joe is the professional manager responsible for overseeing and guiding the career of entertainer Billy Mack.
- 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_69fea5b75c04819085996a7f88ab6c38 |
completed | May 9, 2026, 3:10 a.m. |
| NEDg | Description generation | batch_69fea9f91f3c8190bff7dc7a028a382b |
completed | May 9, 2026, 3:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69feaa469df88190b7f08de78613121d |
completed | May 9, 2026, 3:30 a.m. |
Created at: April 10, 2026, 2:59 a.m.