Triple
T5850320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I. S. Johar |
E130011
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Inder Sen Johar |
E130011
|
NE FINISHED |
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: Inder Sen Johar | Statement: [I. S. Johar, name, Inder Sen Johar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Inder Sen Johar Context triple: [I. S. Johar, name, Inder Sen Johar]
-
A.
Inder Verma
Inder Verma is an Indian-American molecular biologist known for his pioneering work in gene therapy and cancer genetics.
-
B.
I. S. Johar
chosen
I. S. Johar was an Indian actor, writer, and filmmaker known for his character roles in both Hindi cinema and international films, including the epic historical drama "Lawrence of Arabia."
-
C.
Ashok Saraf
Ashok Saraf is a veteran Indian actor and comedian best known for his prolific work in Marathi films and theatre, as well as memorable roles in Hindi cinema and television.
-
D.
Suresh Ayyar
Suresh Ayyar is an editor known for his work on the acclaimed Australian memoir "Romulus, My Father."
-
E.
Shiv Kumar
Shiv Kumar was a renowned Punjabi poet celebrated for his deeply emotional and romantic verse, which left a lasting impact on modern Punjabi literature.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c0084de39081909eb34e6bed74215a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03515dc0c81908797a9713f1a603f |
completed | March 22, 2026, 6:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0bfd6cffc8190b65252f02055e89c |
completed | March 23, 2026, 4:21 a.m. |
Created at: March 22, 2026, 3:55 p.m.