Triple
T6699806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maksymilian Rafailovych Levchyn |
E152848
|
entity |
| Predicate | founded |
P104
|
FINISHED |
| Object |
HVF (Hard, Valuable, Fun)
HVF (Hard, Valuable, Fun) is a startup incubator and investment firm created by PayPal co-founder Max Levchin to build data-driven companies tackling complex, high-impact problems.
|
E134693
|
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: HVF (Hard, Valuable, Fun) | Statement: [Maksymilian Rafailovych Levchyn, founded, HVF (Hard, Valuable, Fun)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HVF (Hard, Valuable, Fun) Context triple: [Maksymilian Rafailovych Levchyn, founded, HVF (Hard, Valuable, Fun)]
-
A.
HVF
HVF is a data-focused startup and innovation lab created by entrepreneur Max Levchin to explore and build companies around large-scale data problems.
-
B.
HVN
HVN is the ICAO airline designator used to identify Vietnam Airlines in international aviation operations.
-
C.
HVN
HVN is the IATA airport code for Tweed New Haven Airport, a regional airport serving New Haven, Connecticut.
-
D.
FV
FV is the IATA airline designator assigned to Rossiya Airlines, a Russian carrier based in Saint Petersburg.
-
E.
HAF
HAF is the commonly used abbreviation for the Hellenic Air Force, the air warfare branch of Greece’s armed forces.
- 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: HVF (Hard, Valuable, Fun) Triple: [Maksymilian Rafailovych Levchyn, founded, HVF (Hard, Valuable, Fun)]
Generated description
HVF (Hard, Valuable, Fun) is a startup incubator and investment firm created by PayPal co-founder Max Levchin to build data-driven companies tackling complex, high-impact problems.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: HVF (Hard, Valuable, Fun) Target entity description: HVF (Hard, Valuable, Fun) is a startup incubator and investment firm created by PayPal co-founder Max Levchin to build data-driven companies tackling complex, high-impact problems.
-
A.
HVF
chosen
HVF is a data-focused startup and innovation lab created by entrepreneur Max Levchin to explore and build companies around large-scale data problems.
-
B.
HVN
HVN is the ICAO airline designator used to identify Vietnam Airlines in international aviation operations.
-
C.
HVN
HVN is the IATA airport code for Tweed New Haven Airport, a regional airport serving New Haven, Connecticut.
-
D.
FV
FV is the IATA airline designator assigned to Rossiya Airlines, a Russian carrier based in Saint Petersburg.
-
E.
HAF
HAF is the commonly used abbreviation for the Hellenic Air Force, the air warfare branch of Greece’s armed forces.
- F. None of above.
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_69c68807adbc8190b8632df42b39eda0 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d0a7355081908a0acfa8d2bb4c09 |
completed | March 27, 2026, 6:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6f7bfcb048190b682f4ec7e404b3e |
completed | March 27, 2026, 9:33 p.m. |
| NEDg | Description generation | batch_69c6f8955748819092b0e51cff6cab69 |
completed | March 27, 2026, 9:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6f945ee308190be1a830e394b5238 |
completed | March 27, 2026, 9:40 p.m. |
Created at: March 27, 2026, 2:05 p.m.