Triple
T12893243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Moscow as young Josh Baskin |
E308421
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object |
David Moscow
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."
|
E1007940
|
NE FINISHED |
How this triple was built (4 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: [David Moscow as young Josh Baskin, portrayedBy, David Moscow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Moscow Context triple: [David Moscow as young Josh Baskin, portrayedBy, David Moscow]
-
A.
Vladimir Koren
Vladimir Koren was a designer best known for creating the iconic state emblem of the Soviet Union.
-
B.
Mark Naimark
Mark Naimark was a Soviet mathematician known for his influential work in functional analysis and operator algebras.
-
C.
Alec Miloslavsky
Alec Miloslavsky is a technology entrepreneur best known as a co-founder of the customer experience and contact center software company Genesys.
-
D.
Moris Slobodskoy
Moris Slobodskoy was a Soviet screenwriter best known for co-writing the classic 1969 comedy film "The Diamond Arm."
-
E.
Eddie Gorodetsky
Eddie Gorodetsky is an American television writer and producer known for his work on popular sitcoms such as "Two and a Half Men," "The Big Bang Theory," and "Mom."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: David Moscow Triple: [David Moscow as young Josh Baskin, portrayedBy, David Moscow]
Generated description
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."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: David Moscow Target entity description: 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."
-
A.
Vladimir Koren
Vladimir Koren was a designer best known for creating the iconic state emblem of the Soviet Union.
-
B.
Mark Naimark
Mark Naimark was a Soviet mathematician known for his influential work in functional analysis and operator algebras.
-
C.
Alec Miloslavsky
Alec Miloslavsky is a technology entrepreneur best known as a co-founder of the customer experience and contact center software company Genesys.
-
D.
Moris Slobodskoy
Moris Slobodskoy was a Soviet screenwriter best known for co-writing the classic 1969 comedy film "The Diamond Arm."
-
E.
Eddie Gorodetsky
Eddie Gorodetsky is an American television writer and producer known for his work on popular sitcoms such as "Two and a Half Men," "The Big Bang Theory," and "Mom."
- F. None of above. chosen
Provenance (5 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_69d7bdf7c1f0819098102569a8d8cbf5 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971484aa08190a8adfafabe600903 |
completed | April 10, 2026, 9:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a55be3288190b2bc0bd197431db3 |
completed | May 3, 2026, 1:31 a.m. |
| NEDg | Description generation | batch_69f6a6179cdc8190976daa1384032445 |
completed | May 3, 2026, 1:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6a6cbec348190a96a0194b2d6be4b |
completed | May 3, 2026, 1:37 a.m. |
Created at: April 9, 2026, 5:40 p.m.