Triple
T10390919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turbo |
E244888
|
entity |
| Predicate | voiceCastMember |
P9616
|
FINISHED |
| Object |
Michael Bell
Michael Bell is an American voice actor known for his extensive work in animated television series, films, and video games since the 1970s.
|
E863675
|
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: Michael Bell | Statement: [Turbo, voiceCastMember, Michael Bell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Bell Context triple: [Turbo, voiceCastMember, Michael Bell]
-
A.
Giovanni Ribisi
Giovanni Ribisi is an American actor known for his character roles in films like "Saving Private Ryan," "Avatar," and the TV series "Friends."
-
B.
Marc Bell
Marc Bell is a Canadian cartoonist and artist known for his surreal, densely detailed comics and contributions to the alternative and underground comics scene.
-
C.
Rob Morrow
Rob Morrow is an American actor best known for his roles in the television series "Northern Exposure" and "Numb3rs."
-
D.
Aaron Eckhart
Aaron Eckhart is an American actor best known for his roles in films such as "The Dark Knight," "Thank You for Smoking," and "Erin Brockovich."
-
E.
Patrick Hutchison
Patrick Hutchison is an individual notable enough to be specifically cited as a bearer of the surname Hutchison.
- 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: Michael Bell Triple: [Turbo, voiceCastMember, Michael Bell]
Generated description
Michael Bell is an American voice actor known for his extensive work in animated television series, films, and video games since the 1970s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Bell Target entity description: Michael Bell is an American voice actor known for his extensive work in animated television series, films, and video games since the 1970s.
-
A.
Giovanni Ribisi
Giovanni Ribisi is an American actor known for his character roles in films like "Saving Private Ryan," "Avatar," and the TV series "Friends."
-
B.
Marc Bell
Marc Bell is a Canadian cartoonist and artist known for his surreal, densely detailed comics and contributions to the alternative and underground comics scene.
-
C.
Rob Morrow
Rob Morrow is an American actor best known for his roles in the television series "Northern Exposure" and "Numb3rs."
-
D.
Aaron Eckhart
Aaron Eckhart is an American actor best known for his roles in films such as "The Dark Knight," "Thank You for Smoking," and "Erin Brockovich."
-
E.
Patrick Hutchison
Patrick Hutchison is an individual notable enough to be specifically cited as a bearer of the surname Hutchison.
- 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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9b4f7d08190bcb16d3b4c8f22ad |
completed | April 7, 2026, 11:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d87e7adc3881909731d5289f370b8b |
completed | April 10, 2026, 4:37 a.m. |
| NEDg | Description generation | batch_69d889c45b588190ad103b4bc8cc5fbd |
completed | April 10, 2026, 5:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d88dbbe97c8190861e08f3ff39f91b |
completed | April 10, 2026, 5:42 a.m. |
Created at: April 6, 2026, 12:06 p.m.