Triple
T10495361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boomers |
E247524
|
entity |
| Predicate | writtenBy |
P806
|
FINISHED |
| Object | Richard Pinto |
E882964
|
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: Richard Pinto | Statement: [Boomers, writtenBy, Richard Pinto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Richard Pinto Context triple: [Boomers, writtenBy, Richard Pinto]
-
A.
Richard Pinto
chosen
Richard Pinto is a television writer and producer best known for co-creating the Australian comedy-drama series "The Boomers."
-
B.
Sanjeev Bhaskar
Sanjeev Bhaskar is a British comedian, actor, and writer best known for his work on the sketch show "Goodness Gracious Me" and the sitcom "The Kumars at No. 42."
-
C.
Vikrant Massey
Vikrant Massey is an Indian actor known for his versatile performances in television, films, and streaming series such as "A Death in the Gunj," "Mirzapur," and "Haseen Dillruba."
-
D.
R. Madhavan
R. Madhavan is a popular Indian actor, writer, and film producer known for his work in Tamil and Hindi cinema, with acclaimed performances in films like "Alaipayuthey," "Rehnaa Hai Terre Dil Mein," and "3 Idiots."
-
E.
Srijit Mukherji
Srijit Mukherji is an acclaimed Indian filmmaker and screenwriter known for his influential and genre-diverse work in contemporary Bengali cinema.
- 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5098be488819083d614f528cd82fb |
completed | April 7, 2026, 1:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de550705788190bd35b9763b44f546 |
completed | April 14, 2026, 2:53 p.m. |
Created at: April 6, 2026, 12:24 p.m.