Triple
T6537737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bugsy Malone |
E168206
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Martin Lev |
E168206
|
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: Martin Lev | Statement: [Bugsy Malone, castMember, Martin Lev]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Martin Lev Context triple: [Bugsy Malone, castMember, Martin Lev]
-
A.
Martin Lev
chosen
Martin Lev was a child actor best known for his role in the 1976 musical gangster film "Bugsy Malone."
-
B.
Alec Miloslavsky
Alec Miloslavsky is a technology entrepreneur best known as a co-founder of the customer experience and contact center software company Genesys.
-
C.
Mike Sokolsky
Mike Sokolsky is a co-founder of the online education platform Udacity, known for its technology-focused courses and nanodegree programs.
-
D.
Evgeny Levinson
Evgeny Levinson was a Soviet architect known for designing significant memorial and monumental complexes, particularly in Leningrad (now Saint Petersburg).
-
E.
Thomas Yatsko
Thomas Yatsko is an American cinematographer and television director known for his work on various films and TV series, including the thriller "The Call" (2013).
- 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_69c68a51564081909e93aee0dbd9cca3 |
completed | March 27, 2026, 1:46 p.m. |
| NER | Named-entity recognition | batch_69c6add33acc8190bb0a9531648198f2 |
completed | March 27, 2026, 4:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6eed36a7081909cb70b79f18b0dfc |
completed | March 27, 2026, 8:55 p.m. |
Created at: March 27, 2026, 1:49 p.m.