Triple
T22111380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ramayan (TV series) |
E546425
|
entity |
| Predicate | portraysCharacter |
P1668
|
FINISHED |
| Object |
Rama
Rama is the virtuous prince and seventh avatar of the Hindu god Vishnu, revered as the central hero of the ancient Indian epic Ramayana.
|
E103308
|
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: Rama | Statement: [Ramayan (TV series), portraysCharacter, Rama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rama Context triple: [Ramayan (TV series), portraysCharacter, Rama]
-
A.
Rama
Rama is a river in Bosnia and Herzegovina that flows through mountainous terrain before joining the Neretva River.
-
B.
Rama
Rama is a common Albanian surname notably borne by Edi Rama, the Prime Minister of Albania.
-
C.
Rama
Rama is a small rural community located in the Canadian province of Saskatchewan.
-
D.
Rama
Rama is a small scenic village in Pakistan’s Gilgit-Baltistan region, known as a gateway to the lush Rama Meadows and views of Nanga Parbat.
-
E.
Rama
Rama is a First Nations community in Ontario, Canada, known for the Chippewas of Rama First Nation and the Casino Rama resort.
- 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: Rama Triple: [Ramayan (TV series), portraysCharacter, Rama]
Generated description
Rama is the virtuous prince and seventh avatar of the Hindu god Vishnu, revered as the central hero of the ancient Indian epic Ramayana.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rama Target entity description: Rama is the virtuous prince and seventh avatar of the Hindu god Vishnu, revered as the central hero of the ancient Indian epic Ramayana.
-
A.
Rama
chosen
Rama is a major Hindu deity and the virtuous prince-king of Ayodhya, revered as the seventh avatar of Vishnu and hero of the epic Ramayana.
-
B.
Rama
Rama is a character in John Steinbeck’s novel "To a God Unknown," representing mystical and spiritual elements within the story’s exploration of land, faith, and destiny.
-
C.
Rama
Rama is a small scenic village in Pakistan’s Gilgit-Baltistan region, known as a gateway to the lush Rama Meadows and views of Nanga Parbat.
-
D.
Rama
Rama is a First Nations community in Ontario, Canada, known for the Chippewas of Rama First Nation and the Casino Rama resort.
-
E.
Rama
Rama is a mysterious, massive cylindrical alien starship that becomes the focus of human exploration in Arthur C. Clarke's science fiction novel "Rendezvous with Rama."
- F. None of above.
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_69e11e38b3848190ac3a4fa97d56e65a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12949cc7881908898ca7dc130f57f |
completed | April 28, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a8f175d2c819096d4a128307f2f67 |
completed | May 18, 2026, 4:01 a.m. |
| NEDg | Description generation | batch_6a0a90ca49c48190b01c88ae7e841cb4 |
completed | May 18, 2026, 4:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a915bd5748190afc5a5a6e9398564 |
completed | May 18, 2026, 4:11 a.m. |
Created at: April 16, 2026, 8:31 p.m.