Triple
T14486930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sam Balsara |
E359253
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Sam Balsara |
E359253
|
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: Sam Balsara | Statement: [Sam Balsara, name, Sam Balsara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sam Balsara Context triple: [Sam Balsara, name, Sam Balsara]
-
A.
Sam Balsara
chosen
Sam Balsara is a prominent Indian advertising and media executive, best known as the founder and chairman of Madison World and Madison Communications.
-
B.
Aspi Balsara
Aspi Balsara was a pioneering Indian musician and bandleader known for popularizing Western-style orchestral and dance music in mid-20th-century India.
-
C.
Ronnie Screwvala
Ronnie Screwvala is an Indian media entrepreneur and film producer, best known as the founder of UTV Group and a key figure in the growth of contemporary Hindi cinema.
-
D.
Nik Dodani
Nik Dodani is an American actor and comedian known for roles in projects like the film adaptation of "Dear Evan Hansen" and the Netflix series "Atypical."
-
E.
Mike Hertz
Mike Hertz is a television producer best known for his executive production work on the British comedy series "Dave."
- 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_69d8279740308190af9df93a3af8592e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de924ee0f08190baf68318b41fa64d |
completed | April 14, 2026, 7:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd64a925148190992101984895a20b |
completed | May 8, 2026, 4:20 a.m. |
Created at: April 10, 2026, 1:20 a.m.