Triple
T10457630
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Girls |
E246586
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Alex Karpovsky |
E170127
|
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: Alex Karpovsky | Statement: [Girls, portrayedBy, Alex Karpovsky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alex Karpovsky Context triple: [Girls, portrayedBy, Alex Karpovsky]
-
A.
Alex Karpovsky
chosen
Alex Karpovsky is an American actor, writer, and director best known for his role as Ray Ploshansky on the HBO series "Girls" and his work in independent films.
-
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.
Michael Shvo
Michael Shvo is a high-profile real estate developer and art collector known for leading luxury property projects in major global cities.
-
E.
Alex Veadov
Alex Veadov is a Ukrainian-American actor known for his supporting roles in crime dramas and action films, including appearances in movies like "We Own the Night" and "Act of Valor."
- 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_69d381c04fe08190957c26c526a3b05a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4fe4a56e08190ab56d762d6a91b01 |
completed | April 7, 2026, 12:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d89fbf3a308190af6b605ce781396a |
completed | April 10, 2026, 6:59 a.m. |
Created at: April 6, 2026, 12:18 p.m.