Triple
T1518410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Lion King |
E32171
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Scar
Scar is the cunning and power-hungry lion antagonist in Disney's animated film "The Lion King," known for plotting to overthrow his brother Mufasa and nephew Simba.
|
E173069
|
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: Scar | Statement: [The Lion King, mainCharacter, Scar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scar Context triple: [The Lion King, mainCharacter, Scar]
-
A.
Burn
Burn is the first name of Burn Gorman, a British-American actor known for roles in productions such as "Torchwood," "Game of Thrones," and "Pacific Rim."
-
B.
Old Wounds
"Old Wounds" is an episode of the animated TV series "Teen Titans" that introduces the character Isaac.
-
C.
Strike
Strike is a 1925 Soviet silent film directed by Sergei Eisenstein, renowned for its pioneering use of montage and its depiction of a workers’ uprising.
-
D.
Sac
Sac is an alternative name for the Sauk, a Native American people originally from the Great Lakes region of North America.
-
E.
Lancing
Lancing is a large coastal village and civil parish on the English Channel in West Sussex, England.
- 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: Scar Triple: [The Lion King, mainCharacter, Scar]
Generated description
Scar is the cunning and power-hungry lion antagonist in Disney's animated film "The Lion King," known for plotting to overthrow his brother Mufasa and nephew Simba.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Scar Target entity description: Scar is the cunning and power-hungry lion antagonist in Disney's animated film "The Lion King," known for plotting to overthrow his brother Mufasa and nephew Simba.
-
A.
Burn
Burn is the first name of Burn Gorman, a British-American actor known for roles in productions such as "Torchwood," "Game of Thrones," and "Pacific Rim."
-
B.
Old Wounds
"Old Wounds" is an episode of the animated TV series "Teen Titans" that introduces the character Isaac.
-
C.
Strike
Strike is a 1925 Soviet silent film directed by Sergei Eisenstein, renowned for its pioneering use of montage and its depiction of a workers’ uprising.
-
D.
Sac
Sac is an alternative name for the Sauk, a Native American people originally from the Great Lakes region of North America.
-
E.
Lancing
Lancing is a large coastal village and civil parish on the English Channel in West Sussex, England.
- 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_69a885e8caf88190a5fbb6159ce87786 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a907ed44ac8190953e428c831e24df |
completed | March 5, 2026, 4:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad2346e7b481909c105a969724591d |
completed | March 8, 2026, 7:20 a.m. |
| NEDg | Description generation | batch_69ad23d86d088190bbea03d5d49bc009 |
completed | March 8, 2026, 7:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad2459c38c8190a8c166c2743a8936 |
completed | March 8, 2026, 7:25 a.m. |
Created at: March 4, 2026, 7:26 p.m.