Triple
T8565350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baashha |
E202787
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Anandaraj
Anandaraj is an Indian film actor best known for his villainous and character roles in Tamil cinema.
|
E742968
|
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: Anandaraj | Statement: [Baashha, starring, Anandaraj]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anandaraj Context triple: [Baashha, starring, Anandaraj]
-
A.
Nandiraj
Nandiraj is a tributary river that feeds into the Indravati River in central India.
-
B.
Rajagopala
Rajagopala is a Hindu deity regarded as a form of Lord Krishna, particularly venerated as the divine cowherd and king of Gokul.
-
C.
Shabara Svamin
Shabara Svamin was an influential early Indian philosopher and commentator whose work on the Mimamsa school’s foundational texts significantly shaped Hindu ritual and hermeneutic thought.
-
D.
Raghavendra
Raghavendra is a 2003 Telugu-language romantic drama film starring Prabhas in one of his early leading roles.
-
E.
Daswanth
Daswanth was a prominent 16th-century Mughal court painter known for his innovative and richly detailed miniature illustrations.
- 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: Anandaraj Triple: [Baashha, starring, Anandaraj]
Generated description
Anandaraj is an Indian film actor best known for his villainous and character roles in Tamil cinema.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anandaraj Target entity description: Anandaraj is an Indian film actor best known for his villainous and character roles in Tamil cinema.
-
A.
Nandiraj
Nandiraj is a tributary river that feeds into the Indravati River in central India.
-
B.
Rajagopala
Rajagopala is a Hindu deity regarded as a form of Lord Krishna, particularly venerated as the divine cowherd and king of Gokul.
-
C.
Shabara Svamin
Shabara Svamin was an influential early Indian philosopher and commentator whose work on the Mimamsa school’s foundational texts significantly shaped Hindu ritual and hermeneutic thought.
-
D.
Raghavendra
Raghavendra is a 2003 Telugu-language romantic drama film starring Prabhas in one of his early leading roles.
-
E.
Daswanth
Daswanth was a prominent 16th-century Mughal court painter known for his innovative and richly detailed miniature illustrations.
- 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_69ca8327b0a881908606ff860713964d |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe9d2331881909d92ddde90f580e9 |
completed | March 31, 2026, 3:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce89677888819091dfda14ce6baef3 |
completed | April 2, 2026, 3:21 p.m. |
| NEDg | Description generation | batch_69ce8c10d774819086437ffeeb1ef25d |
completed | April 2, 2026, 3:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce8d0064fc819095058293e4229f25 |
completed | April 2, 2026, 3:36 p.m. |
Created at: March 30, 2026, 6:20 p.m.