Triple
T6540541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allu Arjun |
E168274
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Parugu
Parugu is a 2008 Telugu-language romantic drama film starring Allu Arjun, known for its emotional storyline and popular music.
|
E604194
|
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: Parugu | Statement: [Allu Arjun, notableWork, Parugu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Parugu Context triple: [Allu Arjun, notableWork, Parugu]
-
A.
Panicale
Panicale is a historic hilltop town and comune in central Italy’s Umbria region, known for its medieval architecture and views over Lake Trasimeno.
-
B.
Peperga
Peperga is a small village in the Netherlands best known as the birthplace of Dutch colonial governor Peter Stuyvesant.
-
C.
Nabo
Nabo is a diminutive form of the given name Nabil, often used as a familiar or affectionate nickname.
-
D.
Patachou
Patachou was a celebrated French singer, actress, and Parisian cabaret owner known for her warm voice and interpretations of classic chanson.
-
E.
Porul
Porul is the second section of the ancient Tamil classic Tirukkural, focusing on ethics, governance, politics, and social conduct.
- 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: Parugu Triple: [Allu Arjun, notableWork, Parugu]
Generated description
Parugu is a 2008 Telugu-language romantic drama film starring Allu Arjun, known for its emotional storyline and popular music.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Parugu Target entity description: Parugu is a 2008 Telugu-language romantic drama film starring Allu Arjun, known for its emotional storyline and popular music.
-
A.
Panicale
Panicale is a historic hilltop town and comune in central Italy’s Umbria region, known for its medieval architecture and views over Lake Trasimeno.
-
B.
Peperga
Peperga is a small village in the Netherlands best known as the birthplace of Dutch colonial governor Peter Stuyvesant.
-
C.
Nabo
Nabo is a diminutive form of the given name Nabil, often used as a familiar or affectionate nickname.
-
D.
Patachou
Patachou was a celebrated French singer, actress, and Parisian cabaret owner known for her warm voice and interpretations of classic chanson.
-
E.
Porul
Porul is the second section of the ancient Tamil classic Tirukkural, focusing on ethics, governance, politics, and social conduct.
- 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_69c68a51564081909e93aee0dbd9cca3 |
completed | March 27, 2026, 1:46 p.m. |
| NER | Named-entity recognition | batch_69c6add7369c8190919cd7c07012a994 |
completed | March 27, 2026, 4:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d53edf108190b74098b41c143a65 |
completed | March 27, 2026, 7:06 p.m. |
| NEDg | Description generation | batch_69c6d6aba9688190ada4f921768e314e |
completed | March 27, 2026, 7:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6d837a5248190b0afb39174ac3922 |
completed | March 27, 2026, 7:19 p.m. |
Created at: March 27, 2026, 1:50 p.m.