Triple
T7755529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laurel and Hardy |
E175886
|
entity |
| Predicate | influenced |
P9
|
FINISHED |
| Object | Peter Sellers |
E251646
|
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: Peter Sellers | Statement: [Laurel and Hardy, influenced, Peter Sellers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Sellers Context triple: [Laurel and Hardy, influenced, Peter Sellers]
-
A.
Peter Sellers
chosen
Peter Sellers was a celebrated British comic actor best known for his versatile character work in films such as the Pink Panther series and Dr. Strangelove.
-
B.
Peter Ustinov
Peter Ustinov was a British actor, writer, and director renowned for his wit, versatility, and memorable character roles in film and television.
-
C.
Ian Lithgow
Ian Lithgow is an American actor and psychotherapist best known for his recurring role as Leon on the sitcom "3rd Rock from the Sun."
-
D.
Sid James
Sid James was a South African-born British comic actor best known for his roles in the "Carry On" film series and his collaborations with comedian Tony Hancock.
-
E.
George Sanders
George Sanders was a British actor known for his sophisticated, sardonic screen presence and acclaimed performances in classic Hollywood films, including his Oscar-winning role in "All About Eve."
- 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_69c6996180088190832e38e8d83ff54a |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c703d9d8fc8190b51faeb081ee425f |
completed | March 27, 2026, 10:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8be5dbf5881908d07d70c8ae061a5 |
completed | March 29, 2026, 5:53 a.m. |
Created at: March 27, 2026, 4:08 p.m.