Triple
T15297130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tarzan (2013 film) |
E365688
|
entity |
| Predicate | voiceActor |
P1507
|
FINISHED |
| Object |
Les Bubb
Les Bubb is a British voice actor and physical comedian known for his versatile vocal performances in film, television, and stage productions.
|
E1148121
|
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: Les Bubb | Statement: [Tarzan (2013 film), voiceActor, Les Bubb]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Les Bubb Context triple: [Tarzan (2013 film), voiceActor, Les Bubb]
-
A.
Bubbles
"Bubbles" is a song by the English rock band Bush, known as the B-side to their hit single "Glycerine."
-
B.
Bubbles
Bubbles is a famous late-19th-century painting by John Everett Millais, best known for its sentimental depiction of a young boy blowing soap bubbles.
-
C.
Bubbles
Bubbles is a resourceful, drug-addicted police informant in the television series "The Wire," known for his street smarts, moral complexity, and poignant personal struggles.
-
D.
Bubbles
Bubbles is the famous pet chimpanzee who lived with and was closely associated with pop star Michael Jackson.
-
E.
The Bubble
The Bubble is a recording studio and music production facility co-founded by producer and engineer Frenchie Smith, known for its work with rock and alternative artists.
- 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: Les Bubb Triple: [Tarzan (2013 film), voiceActor, Les Bubb]
Generated description
Les Bubb is a British voice actor and physical comedian known for his versatile vocal performances in film, television, and stage productions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Les Bubb Target entity description: Les Bubb is a British voice actor and physical comedian known for his versatile vocal performances in film, television, and stage productions.
-
A.
Bubbles
"Bubbles" is a song by the English rock band Bush, known as the B-side to their hit single "Glycerine."
-
B.
Bubbles
Bubbles is a famous late-19th-century painting by John Everett Millais, best known for its sentimental depiction of a young boy blowing soap bubbles.
-
C.
Bubbles
Bubbles is a resourceful, drug-addicted police informant in the television series "The Wire," known for his street smarts, moral complexity, and poignant personal struggles.
-
D.
Bubbles
Bubbles is the famous pet chimpanzee who lived with and was closely associated with pop star Michael Jackson.
-
E.
The Bubble
The Bubble is a recording studio and music production facility co-founded by producer and engineer Frenchie Smith, known for its work with rock and alternative artists.
- 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_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e036848c1881908fbaaae0216d6d27 |
completed | April 16, 2026, 1:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feef82f6d08190b809260dda247dfe |
completed | May 9, 2026, 8:25 a.m. |
| NEDg | Description generation | batch_69fef08efec88190a66159ba39409ec9 |
completed | May 9, 2026, 8:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fef1715c3081909bddb24688c810a7 |
completed | May 9, 2026, 8:33 a.m. |
Created at: April 10, 2026, 3:15 a.m.