Triple
T22103057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Special 26 |
E546216
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Jimmy Sheirgill |
—
|
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: Jimmy Sheirgill | Statement: [Special 26, starring, Jimmy Sheirgill]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jimmy Sheirgill Context triple: [Special 26, starring, Jimmy Sheirgill]
-
A.
Jimmy Sheirgill
chosen
Jimmy Sheirgill is an Indian film actor and producer known for his work in Hindi and Punjabi cinema, often portraying intense and understated romantic or dramatic roles.
-
B.
Phil Pinto
Phil Pinto is a music video director known for his work on high-profile pop and R&B projects, including Bruno Mars’s “It Will Rain.”
-
C.
Martin Shakkum
Martin Shakkum is a Russian politician and public figure who ran as a candidate in the 1996 Russian presidential election.
-
D.
Keith Shankar
Keith Shankar is a central character in the dark comedy TV series "Black Monday," which satirically explores the events surrounding the 1987 stock market crash.
-
E.
Danny Sapani
Danny Sapani is a British-Ghanaian actor known for his work in film, television, and theatre, including roles in projects like "Penny Dreadful," "Black Panther," and "Star Wars: The Last Jedi."
- 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_69e11e378dc08190896d6a51597afd5a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129175a7881909549883f23c53dca |
completed | April 28, 2026, 9:39 p.m. |
Created at: April 16, 2026, 8:30 p.m.