Triple
T13091154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loebner Prize |
E310465
|
entity |
| Predicate | notableWinner |
P2766
|
FINISHED |
| Object |
Mitsuku
Mitsuku is an award-winning conversational chatbot renowned for its human-like dialogue and multiple victories in Turing test-style competitions.
|
E1019448
|
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: Mitsuku | Statement: [Loebner Prize, notableWinner, Mitsuku]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mitsuku Context triple: [Loebner Prize, notableWinner, Mitsuku]
-
A.
Shimushiru
Shimushiru is the former Japanese name for Simushir, an uninhabited volcanic island in the central Kuril Islands chain in the northwest Pacific Ocean.
-
B.
Bebot
"Bebot" is a song by the Black Eyed Peas that blends hip hop with Filipino cultural themes and language.
-
C.
Botley
Botley is a historic village and civil parish in Hampshire, England, known for its rural character and location near the River Hamble.
-
D.
Botley
Botley is a village and suburb on the western edge of Oxford, England, known for its residential character and proximity to the city.
-
E.
Kismet
Kismet is a 1955 MGM musical fantasy film directed by Vincente Minnelli, adapted from the Broadway musical set in a stylized, exoticized Baghdad.
- 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: Mitsuku Triple: [Loebner Prize, notableWinner, Mitsuku]
Generated description
Mitsuku is an award-winning conversational chatbot renowned for its human-like dialogue and multiple victories in Turing test-style competitions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mitsuku Target entity description: Mitsuku is an award-winning conversational chatbot renowned for its human-like dialogue and multiple victories in Turing test-style competitions.
-
A.
Shimushiru
Shimushiru is the former Japanese name for Simushir, an uninhabited volcanic island in the central Kuril Islands chain in the northwest Pacific Ocean.
-
B.
Bebot
"Bebot" is a song by the Black Eyed Peas that blends hip hop with Filipino cultural themes and language.
-
C.
Botley
Botley is a historic village and civil parish in Hampshire, England, known for its rural character and location near the River Hamble.
-
D.
Botley
Botley is a village and suburb on the western edge of Oxford, England, known for its residential character and proximity to the city.
-
E.
Kismet
Kismet is a 1955 MGM musical fantasy film directed by Vincente Minnelli, adapted from the Broadway musical set in a stylized, exoticized Baghdad.
- 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_69d806a733548190989cfd4ce981ca33 |
completed | April 9, 2026, 8:05 p.m. |
| NER | Named-entity recognition | batch_69d9813acbac8190b2fe5e07287457cf |
completed | April 10, 2026, 11:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d61629ac8190a2dfa11951a877f0 |
completed | May 3, 2026, 4:59 a.m. |
| NEDg | Description generation | batch_69f6d6e326408190b7906c7ea8e3ef85 |
completed | May 3, 2026, 5:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6d873b978819097962c82e8ffdac8 |
completed | May 3, 2026, 5:09 a.m. |
Created at: April 9, 2026, 9:03 p.m.