Triple
T18337498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Just Married |
E439309
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | David Moscow |
—
|
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: David Moscow | Statement: [Just Married, castMember, David Moscow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Moscow Context triple: [Just Married, castMember, David Moscow]
-
A.
David Moscow
chosen
David Moscow is an American actor best known for playing the young version of Tom Hanks’s character Josh Baskin in the 1988 film "Big."
-
B.
Vladimir Koren
Vladimir Koren was a designer best known for creating the iconic state emblem of the Soviet Union.
-
C.
Mark Naimark
Mark Naimark was a Soviet mathematician known for his influential work in functional analysis and operator algebras.
-
D.
Alec Miloslavsky
Alec Miloslavsky is a technology entrepreneur best known as a co-founder of the customer experience and contact center software company Genesys.
-
E.
Moris Slobodskoy
Moris Slobodskoy was a Soviet screenwriter best known for co-writing the classic 1969 comedy film "The Diamond Arm."
- 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_69d8b9175fec8190af865699b4e64d8c |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50ece387881909a5da0aa4370489c |
completed | April 19, 2026, 5:20 p.m. |
Created at: April 10, 2026, 10:37 a.m.