Triple
T7045224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | N. T. Rama Rao Jr. |
E163614
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Tarak
Tarak is the popular nickname of N. T. Rama Rao Jr., a leading Telugu film actor known for his roles in action and drama movies.
|
E638829
|
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: Tarak | Statement: [N. T. Rama Rao Jr., alsoKnownAs, Tarak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tarak Context triple: [N. T. Rama Rao Jr., alsoKnownAs, Tarak]
-
A.
Tavo
Tavo is a common Spanish diminutive or nickname for the given name Gustavo.
-
B.
Tarkwa
Tarkwa is a mining town in southwestern Ghana renowned for its large-scale gold and manganese mining operations.
-
C.
Tahkuna
Tahkuna is a coastal settlement in northern Estonia, located on Hiiumaa Island and known for its proximity to the historic Tahkuna Lighthouse.
-
D.
Raka
Raka is a renowned Afrikaans narrative poem by N. P. van Wyk Louw that explores themes of civilization, barbarism, and moral conflict through an allegorical tale.
-
E.
Terik
Terik is a Southern Nilotic language spoken by the Terik people of western Kenya, closely related to Nandi and other Kalenjin languages.
- 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: Tarak Triple: [N. T. Rama Rao Jr., alsoKnownAs, Tarak]
Generated description
Tarak is the popular nickname of N. T. Rama Rao Jr., a leading Telugu film actor known for his roles in action and drama movies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tarak Target entity description: Tarak is the popular nickname of N. T. Rama Rao Jr., a leading Telugu film actor known for his roles in action and drama movies.
-
A.
Tavo
Tavo is a common Spanish diminutive or nickname for the given name Gustavo.
-
B.
Tarkwa
Tarkwa is a mining town in southwestern Ghana renowned for its large-scale gold and manganese mining operations.
-
C.
Tahkuna
Tahkuna is a coastal settlement in northern Estonia, located on Hiiumaa Island and known for its proximity to the historic Tahkuna Lighthouse.
-
D.
Raka
Raka is a renowned Afrikaans narrative poem by N. P. van Wyk Louw that explores themes of civilization, barbarism, and moral conflict through an allegorical tale.
-
E.
Terik
Terik is a Southern Nilotic language spoken by the Terik people of western Kenya, closely related to Nandi and other Kalenjin languages.
- 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_69c6885f598c8190b6b6495c59d8d962 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e238c7a4819095f5ff7283d48da8 |
completed | March 27, 2026, 8:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7887799f48190b4fa311defd8e9fd |
completed | March 28, 2026, 7:51 a.m. |
| NEDg | Description generation | batch_69c7893f85588190b1ed983f00ea2532 |
completed | March 28, 2026, 7:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c78b0fe83481909cad77ce740b81d5 |
completed | March 28, 2026, 8:02 a.m. |
Created at: March 27, 2026, 2:37 p.m.