Triple
T8558926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roja |
E202642
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
Suresh Urs
Suresh Urs is an acclaimed Indian film editor known for his work on numerous prominent Kannada, Tamil, and Hindi films.
|
E746027
|
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: Suresh Urs | Statement: [Roja, editedBy, Suresh Urs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Suresh Urs Context triple: [Roja, editedBy, Suresh Urs]
-
A.
Shankar Patil
Shankar Patil is a prominent Marathi playwright known for his influential contributions to contemporary Marathi theatre.
-
B.
Shripad Naik
Shripad Naik is an Indian politician and long-serving Member of Parliament from Goa who has held multiple ministerial roles in the central government.
-
C.
Manohar Raju
Manohar Raju is an American attorney and criminal justice reform advocate who serves as the elected Public Defender of San Francisco.
-
D.
Nagendra Babu
Nagendra Babu is an Indian film actor and producer primarily associated with Telugu cinema and the influential Konidela family film dynasty.
-
E.
Raghuveer Chaudhari
Raghuveer Chaudhari is an acclaimed Indian Gujarati writer and scholar renowned for his influential novels, poetry, and literary criticism.
- 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: Suresh Urs Triple: [Roja, editedBy, Suresh Urs]
Generated description
Suresh Urs is an acclaimed Indian film editor known for his work on numerous prominent Kannada, Tamil, and Hindi films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Suresh Urs Target entity description: Suresh Urs is an acclaimed Indian film editor known for his work on numerous prominent Kannada, Tamil, and Hindi films.
-
A.
Shankar Patil
Shankar Patil is a prominent Marathi playwright known for his influential contributions to contemporary Marathi theatre.
-
B.
Shripad Naik
Shripad Naik is an Indian politician and long-serving Member of Parliament from Goa who has held multiple ministerial roles in the central government.
-
C.
Manohar Raju
Manohar Raju is an American attorney and criminal justice reform advocate who serves as the elected Public Defender of San Francisco.
-
D.
Nagendra Babu
Nagendra Babu is an Indian film actor and producer primarily associated with Telugu cinema and the influential Konidela family film dynasty.
-
E.
Raghuveer Chaudhari
Raghuveer Chaudhari is an acclaimed Indian Gujarati writer and scholar renowned for his influential novels, poetry, and literary criticism.
- 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_69ca8326e6c881908ff720d6abaebdc5 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe9485dd88190bc2cf2adf39d48ee |
completed | March 31, 2026, 3:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cea871dd3081908e24c4d1c60a8381 |
completed | April 2, 2026, 5:33 p.m. |
| NEDg | Description generation | batch_69cea996a5c48190a12ffe8e282d2d9c |
completed | April 2, 2026, 5:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ceadb2d52c8190aada1d797753663e |
completed | April 2, 2026, 5:56 p.m. |
Created at: March 30, 2026, 6:20 p.m.