Triple
T5633561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Welcome to L.A. |
E147889
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Richard Baskin |
E572432
|
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 Baskin | Statement: [Welcome to L.A., castMember, Richard Baskin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Richard Baskin Context triple: [Welcome to L.A., castMember, Richard Baskin]
-
A.
Richard Baskin
chosen
Richard Baskin is an American composer and music producer best known for his film scores and work in the 1970s and 1980s, particularly in Hollywood.
-
B.
Lawrence Bender
Lawrence Bender is an American film producer best known for his longtime collaboration with Quentin Tarantino on influential films such as "Pulp Fiction" and the "Kill Bill" series.
-
C.
Richard Berkling
Richard Berkling is a Swedish sports executive best known for serving as chairman of the football club IFK Göteborg.
-
D.
Hal Bidlack
Hal Bidlack is an American political science professor, retired U.S. Air Force officer, and public speaker known for his work in skepticism and secular humanism.
-
E.
Kenneth Biller
Kenneth Biller is an American television writer and producer best known for his work on series such as "Star Trek: Voyager" and the anthology drama "Genius."
- 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_69c00907bc8881909ed760d3ed73ef35 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c0225ff3248190b93c9f5887553fd4 |
completed | March 22, 2026, 5:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c16e69e9188190a4dd94c34657a74f |
completed | March 23, 2026, 4:46 p.m. |
Created at: March 22, 2026, 3:41 p.m.