Triple
T6047076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HVF |
E134693
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object | HVF Labs |
E134693
|
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: HVF Labs | Statement: [HVF, alternativeName, HVF Labs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HVF Labs Context triple: [HVF, alternativeName, HVF Labs]
-
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.
Deluxe Laboratories
Deluxe Laboratories is a prominent film processing and post-production company known for its work with color motion picture technologies.
-
C.
HVN
HVN is the ICAO airline designator used to identify Vietnam Airlines in international aviation operations.
-
D.
HVN
HVN is the IATA airport code for Tweed New Haven Airport, a regional airport serving New Haven, Connecticut.
-
E.
Vitaflo
Vitaflo is a specialized nutrition brand focused on medical foods and dietary products for people with rare metabolic disorders and other complex health conditions.
- 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_69c00876a69881908088a2626d3b2666 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c056e70fd48190b4554e9a516a1c88 |
completed | March 22, 2026, 8:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c113a2b65c8190a1891e790cb9a5de |
completed | March 23, 2026, 10:19 a.m. |
Created at: March 22, 2026, 4:09 p.m.