Triple
T17460702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Life of a Don |
E425142
|
entity |
| Predicate | featuresArtist |
P1952
|
FINISHED |
| Object | HVN |
—
|
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: HVN | Statement: [Life of a Don, featuresArtist, HVN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HVN Context triple: [Life of a Don, featuresArtist, HVN]
-
A.
HVN
HVN is the ICAO airline designator used to identify Vietnam Airlines in international aviation operations.
-
B.
HVN
chosen
HVN is the IATA airport code for Tweed New Haven Airport, a regional airport serving New Haven, Connecticut.
-
C.
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.
-
D.
NHV
NHV is the Amtrak station code for New Haven Union Station, a major passenger rail hub in New Haven, Connecticut.
-
E.
VHP
VHP is a right-wing Hindu nationalist organization in India known for its role in promoting Hindutva ideology and involvement in religious and political campaigns.
- 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_69d889dbc2e88190b18ea6115e819258 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451a3031c8190ab1dd0d41b002dd2 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 5:47 a.m.