Triple
T7164484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prabhas |
E167031
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Yogi
Yogi is a 2007 Telugu-language action drama film starring Prabhas, known for its emotional mother-son storyline and mass-action elements.
|
E645491
|
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: Yogi | Statement: [Prabhas, notableWork, Yogi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yogi Context triple: [Prabhas, notableWork, Yogi]
-
A.
Yogi
Yogi is the famous nickname of Lawrence "Yogi" Berra, a legendary American baseball catcher, manager, and coach known for his success with the New York Yankees and his humorous, paradoxical quotes.
-
B.
Yogi
Yogi is a music producer known for contributing to the sound of Lil' Kim’s album "La Bella Mafia."
-
C.
Swami
Swami is a Hindu honorific title denoting a religious teacher or monk who has taken vows of renunciation and spiritual discipline.
-
D.
Govinda
Govinda is a revered name of the Hindu god Vishnu, particularly associated with his Krishna avatar as the protector of cows and giver of joy.
-
E.
Rishi
Rishi is the given name of Rishi Sunak, the British Conservative politician who became Prime Minister of the United Kingdom in 2022.
- 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: Yogi Triple: [Prabhas, notableWork, Yogi]
Generated description
Yogi is a 2007 Telugu-language action drama film starring Prabhas, known for its emotional mother-son storyline and mass-action elements.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yogi Target entity description: Yogi is a 2007 Telugu-language action drama film starring Prabhas, known for its emotional mother-son storyline and mass-action elements.
-
A.
Yogi
Yogi is the famous nickname of Lawrence "Yogi" Berra, a legendary American baseball catcher, manager, and coach known for his success with the New York Yankees and his humorous, paradoxical quotes.
-
B.
Yogi
Yogi is a music producer known for contributing to the sound of Lil' Kim’s album "La Bella Mafia."
-
C.
Swami
Swami is a Hindu honorific title denoting a religious teacher or monk who has taken vows of renunciation and spiritual discipline.
-
D.
Govinda
Govinda is a revered name of the Hindu god Vishnu, particularly associated with his Krishna avatar as the protector of cows and giver of joy.
-
E.
Rishi
Rishi is the given name of Rishi Sunak, the British Conservative politician who became Prime Minister of the United Kingdom in 2022.
- 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.