Triple
T20589497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Jungle Book 2 |
E505876
|
entity |
| Predicate | voiceActor |
P1507
|
FINISHED |
| Object |
Connor Funk
Connor Funk is an American voice actor best known for his role in Disney's animated film "The Jungle Book 2."
|
E1440391
|
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: Connor Funk | Statement: [The Jungle Book 2, voiceActor, Connor Funk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Connor Funk Context triple: [The Jungle Book 2, voiceActor, Connor Funk]
-
A.
Matt Fink
Matt Fink is an American keyboardist best known for his work with Prince and The Revolution, where he performed under the persona "Doctor Fink."
-
B.
Grant Shaud
Grant Shaud is an American actor best known for playing the high-strung news producer Miles Silverberg on the television sitcom "Murphy Brown."
-
C.
Craig Bierko
Craig Bierko is an American actor known for his work in film, television, and theater, often playing charismatic or villainous roles.
-
D.
Matt Fallon
Matt Fallon is an American heavy metal singer best known for his early involvement with bands like Skid Row and Anthrax before they rose to mainstream fame.
-
E.
Michael Chugg
Michael Chugg is a prominent Australian music and entertainment promoter known for founding Chugg Entertainment and producing major concerts, tours, and theatrical events.
- 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: Connor Funk Triple: [The Jungle Book 2, voiceActor, Connor Funk]
Generated description
Connor Funk is an American voice actor best known for his role in Disney's animated film "The Jungle Book 2."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Connor Funk Target entity description: Connor Funk is an American voice actor best known for his role in Disney's animated film "The Jungle Book 2."
-
A.
Matt Fink
Matt Fink is an American keyboardist best known for his work with Prince and The Revolution, where he performed under the persona "Doctor Fink."
-
B.
Grant Shaud
Grant Shaud is an American actor best known for playing the high-strung news producer Miles Silverberg on the television sitcom "Murphy Brown."
-
C.
Craig Bierko
Craig Bierko is an American actor known for his work in film, television, and theater, often playing charismatic or villainous roles.
-
D.
Matt Fallon
Matt Fallon is an American heavy metal singer best known for his early involvement with bands like Skid Row and Anthrax before they rose to mainstream fame.
-
E.
Michael Chugg
Michael Chugg is a prominent Australian music and entertainment promoter known for founding Chugg Entertainment and producing major concerts, tours, and theatrical events.
- 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_69e0b4b9669c8190b8e81fc72817d42c |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a979e4a48190a948165fb0f3b265 |
completed | April 20, 2026, 10:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08b3e61f888190b805b7d19d673536 |
completed | May 16, 2026, 6:13 p.m. |
| NEDg | Description generation | batch_6a08b4a7779481909b5bf6e99e632841 |
completed | May 16, 2026, 6:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08b57ff3e48190952c973726821e2b |
completed | May 16, 2026, 6:20 p.m. |
Created at: April 16, 2026, 11:40 a.m.