Triple
T2772814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sacha Baron Cohen |
E61496
|
entity |
| Predicate | voiceRole |
P12691
|
FINISHED |
| Object |
King Julien
King Julien is a flamboyant, self-absorbed lemur king from the Madagascar animated franchise, known for his comedic antics and love of dancing.
|
E298193
|
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: King Julien | Statement: [Sacha Baron Cohen, voiceRole, King Julien]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: King Julien Context triple: [Sacha Baron Cohen, voiceRole, King Julien]
-
A.
Armand
Armand is the given name of Cardinal Richelieu, the powerful 17th-century French statesman and chief minister to King Louis XIII.
-
B.
Armand
Armand is the given first name of the 19th-century French physicist Hippolyte Fizeau, known for his pioneering measurements of the speed of light.
-
C.
Armand
Armand is the given first name of the French poet and Nobel laureate Sully Prudhomme.
-
D.
Castera Bazile
Castera Bazile was a Haitian artist known for his religious murals and contributions to the visual arts of Haiti.
-
E.
Treves
Treves was a prominent Italian publishing house known for issuing major literary works in the late 19th and early 20th centuries.
- 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: King Julien Triple: [Sacha Baron Cohen, voiceRole, King Julien]
Generated description
King Julien is a flamboyant, self-absorbed lemur king from the Madagascar animated franchise, known for his comedic antics and love of dancing.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: King Julien Target entity description: King Julien is a flamboyant, self-absorbed lemur king from the Madagascar animated franchise, known for his comedic antics and love of dancing.
-
A.
Armand
Armand is the given name of Cardinal Richelieu, the powerful 17th-century French statesman and chief minister to King Louis XIII.
-
B.
Armand
Armand is the given first name of the 19th-century French physicist Hippolyte Fizeau, known for his pioneering measurements of the speed of light.
-
C.
Armand
Armand is the given first name of the French poet and Nobel laureate Sully Prudhomme.
-
D.
Castera Bazile
Castera Bazile was a Haitian artist known for his religious murals and contributions to the visual arts of Haiti.
-
E.
Treves
Treves was a prominent Italian publishing house known for issuing major literary works in the late 19th and early 20th centuries.
- 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_69ab4b7cd13481909174bca9809ed259 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdd6b9cc48190bd9f7d8d33fe1ec1 |
completed | March 7, 2026, 8:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc0553588819098d478b4aaa18478 |
completed | March 10, 2026, 6:55 a.m. |
| NEDg | Description generation | batch_69afc1c74ecc8190ba8b9926ff28f24e |
completed | March 10, 2026, 7:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afc2d5aecc81909ce90a7e891568c9 |
completed | March 10, 2026, 7:05 a.m. |
Created at: March 6, 2026, 9:57 p.m.