Triple
T18779801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Curunír |
E459226
|
entity |
| Predicate | opposed |
P437
|
FINISHED |
| Object | Rohan |
—
|
NE NERFINISHED |
How this triple was built (2 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: Rohan | Statement: [Curunír, opposed, Rohan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rohan Context triple: [Curunír, opposed, Rohan]
-
A.
Rohan
chosen
Rohan is a prominent kingdom of horse-lords in J.R.R. Tolkien’s Middle-earth, renowned for its vast grasslands and skilled cavalry.
-
B.
Rohan
Rohan is a masculine given name of Sanskrit origin commonly used in India and among the Indian diaspora.
-
C.
Rohan
Rohan is a prominent French noble family historically associated with Brittany and influential roles in European aristocratic and military affairs.
-
D.
Rohan Chand
Rohan Chand is an American child actor best known for his lead role as Mowgli in the film "Mowgli: Legend of the Jungle" and appearances in movies like "Bad Words" and "Lone Survivor."
-
E.
Roshan
Roshan is the given name of Roshan Seth, an Indian-born British actor known for his roles in films such as "Gandhi" and "Indiana Jones and the Temple of Doom."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d396f54c8190ba49db31e8743842 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5933e35a481908c21f7f488e1dd99 |
completed | April 20, 2026, 2:45 a.m. |
Created at: April 10, 2026, 11:52 a.m.