Triple
T7164482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prabhas |
E167031
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Rebel
Rebel is a 2012 Indian Telugu-language action film starring Prabhas, known for its high-octane fight sequences and mass entertainment style.
|
E645489
|
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: Rebel | Statement: [Prabhas, notableWork, Rebel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rebel Context triple: [Prabhas, notableWork, Rebel]
-
A.
Rebel
Rebel is a television drama series starring Katey Sagal as a blue-collar legal advocate inspired by the life and work of activist Erin Brockovich.
-
B.
Rebel
Rebel is an off-road-focused trim of the Ram 1500 pickup truck, featuring rugged styling and enhanced off-road capability.
-
C.
Rebels
The Rebels are the athletic teams representing the University of Mississippi (Ole Miss) in NCAA Division I sports.
-
D.
The Rebel
The Rebel is a 1961 British comedy film starring Tony Hancock as an office worker who abandons his mundane life to pursue a deluded career as a modern artist in Paris.
-
E.
The Rebel
The Rebel is a philosophical essay by Albert Camus that explores the nature of rebellion and revolution and their implications for human freedom and morality.
- 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: Rebel Triple: [Prabhas, notableWork, Rebel]
Generated description
Rebel is a 2012 Indian Telugu-language action film starring Prabhas, known for its high-octane fight sequences and mass entertainment style.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rebel Target entity description: Rebel is a 2012 Indian Telugu-language action film starring Prabhas, known for its high-octane fight sequences and mass entertainment style.
-
A.
Rebel
Rebel is a television drama series starring Katey Sagal as a blue-collar legal advocate inspired by the life and work of activist Erin Brockovich.
-
B.
Rebel
Rebel is an off-road-focused trim of the Ram 1500 pickup truck, featuring rugged styling and enhanced off-road capability.
-
C.
Rebels
The Rebels are the athletic teams representing the University of Mississippi (Ole Miss) in NCAA Division I sports.
-
D.
The Rebel
The Rebel is a 1961 British comedy film starring Tony Hancock as an office worker who abandons his mundane life to pursue a deluded career as a modern artist in Paris.
-
E.
The Rebel
The Rebel is a philosophical essay by Albert Camus that explores the nature of rebellion and revolution and their implications for human freedom and morality.
- 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_69c68888c10c819095e0383020225758 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e83168a08190937ff46797d94f3e |
completed | March 27, 2026, 8:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7adcc145c8190ba65831ed891a225 |
completed | March 28, 2026, 10:30 a.m. |
| NEDg | Description generation | batch_69c7ae9111048190b9d68932b15aeab9 |
completed | March 28, 2026, 10:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7af44076481908d770dd92ed55277 |
completed | March 28, 2026, 10:36 a.m. |
Created at: March 27, 2026, 2:47 p.m.