Triple
T21286342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Renu Saluja |
E524669
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Renu Saluja |
—
|
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: Renu Saluja | Statement: [Renu Saluja, name, Renu Saluja]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Renu Saluja Context triple: [Renu Saluja, name, Renu Saluja]
-
A.
Renu Saluja
chosen
Renu Saluja was a renowned Indian film editor celebrated for her influential work in parallel and mainstream Hindi cinema during the 1980s and 1990s.
-
B.
Sushma Kharakwal
Sushma Kharakwal is an Indian politician who has served as the mayor of Lucknow, the capital city of Uttar Pradesh.
-
C.
Anita Yadav
Anita Yadav is known as the wife of Ram Baran Yadav, the first President of Nepal.
-
D.
Renu Khator
Renu Khator is an Indian-American academic and higher education leader who serves as the longtime chancellor of the University of Houston System and a prominent advocate for urban research universities.
-
E.
Gulmit Gojal
Gulmit Gojal is a historic village and tourist destination in the Gojal Valley of Upper Hunza, Gilgit-Baltistan, Pakistan, known for its scenic mountain landscapes and Wakhi culture.
- 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_69e0b5171f6c8190a5d57201ede73811 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e736d717c88190950bd48058912b65 |
completed | April 21, 2026, 8:35 a.m. |
Created at: April 16, 2026, 4:03 p.m.