Triple
T19592306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haim |
E470265
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Gasoline |
—
|
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: Gasoline | Statement: [Haim, notableWork, Gasoline]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gasoline Context triple: [Haim, notableWork, Gasoline]
-
A.
Gasoline
Gasoline is a 1958 poetry collection by Beat Generation writer Gregory Corso, known for its energetic, surreal, and rebellious verse.
-
B.
Gasoline
chosen
"Gasoline" is a dark, introspective pop song by American singer Halsey that explores themes of mental health, identity, and self-destruction.
-
C.
Gasolina
"Gasolina" is a landmark reggaeton track by Daddy Yankee that helped popularize the genre worldwide in the early 2000s.
-
D.
Fuel
Fuel is an American rock band, prominent in the late 1990s and early 2000s post-grunge scene, known for hits like "Hemorrhage (In My Hands)" and "Shimmer."
-
E.
GasGas
GasGas is a Spanish motorcycle manufacturer best known for its off-road, enduro, and trial bikes, and more recently its presence in MotoGP.
- 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_69d8e510024481908415c0d616fa6186 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e64057460c8190962e2e58f06b3985 |
completed | April 20, 2026, 3:03 p.m. |
Created at: April 10, 2026, 1:43 p.m.