Triple
T20228845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Born to Die |
E495462
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Video Games |
—
|
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: Video Games | Statement: [Born to Die, hasTrack, Video Games]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Video Games Context triple: [Born to Die, hasTrack, Video Games]
-
A.
Video Games
chosen
"Video Games" is a melancholic, retro-inspired ballad by Lana Del Rey that became her breakout hit and introduced her signature cinematic pop style to a wide audience.
-
B.
Computer Games
Computer Games is a 1982 funk album by George Clinton that helped define his solo career after Parliament-Funkadelic.
-
C.
Home Game
Home Game is a non-fiction book by former NHL goaltender and author Ken Dryden that reflects on the culture, meaning, and personal impact of hockey in Canada.
-
D.
Game
Game is an American rapper, songwriter, and actor known for his role in revitalizing West Coast hip hop in the mid-2000s.
-
E.
Game
Game is a large South African big-box retail chain known for selling a wide range of general merchandise, electronics, and household goods at discount prices.
- 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_69da626cff80819097b530718a7c98b6 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66fdb61b08190b850a9648ebfb720 |
completed | April 20, 2026, 6:26 p.m. |
Created at: April 11, 2026, 11:39 p.m.