Triple
T19515040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | hi5 |
E488255
|
entity |
| Predicate | founder |
P104
|
FINISHED |
| Object | Ramu Yalamanchi |
—
|
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: Ramu Yalamanchi | Statement: [hi5, founder, Ramu Yalamanchi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ramu Yalamanchi Context triple: [hi5, founder, Ramu Yalamanchi]
-
A.
Ramu Yalamanchi
chosen
Ramu Yalamanchi is an entrepreneur best known as the founder of the early social networking site hi5.
-
B.
Venkatapathy Raju
Venkatapathy Raju is a former Indian left-arm orthodox spin bowler who represented India in Tests and ODIs during the 1990s.
-
C.
Janardhan Rao
Janardhan Rao was a son of the prominent Maratha Peshwa Baji Rao I, belonging to the influential Peshwa family of the Maratha Empire.
-
D.
Sai Madhav Burra
Sai Madhav Burra is an Indian screenwriter and dialogue writer known for his work on major Telugu films, including the epic action drama "RRR."
-
E.
Venkata Ramana Reddy
Venkata Ramana Reddy, better known by his professional name Dil Raju, is a prominent Indian film producer and distributor in the Telugu film industry.
- 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_69d8e8da8bec819081f400199491ccc3 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6359a7070819099d925447c80bf23 |
completed | April 20, 2026, 2:18 p.m. |
Created at: April 10, 2026, 1:40 p.m.