Triple
T22534872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Collision Course |
E557127
|
entity |
| Predicate | featuresArtist |
P1952
|
FINISHED |
| Object | Joe Hahn |
—
|
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: Joe Hahn | Statement: [Collision Course, featuresArtist, Joe Hahn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joe Hahn Context triple: [Collision Course, featuresArtist, Joe Hahn]
-
A.
Joe Hahn
chosen
Joe Hahn is an American musician and DJ best known as the turntablist and sampler for the rock band Linkin Park.
-
B.
Rob Hahn
Rob Hahn is an American cinematographer best known for his work on feature films such as the crime thriller "The Score."
-
C.
Lew Hahn
Lew Hahn is a recording engineer known for his work on notable music projects such as the song "I'm Every Woman."
-
D.
Doug J. Hannah
Doug J. Hannah is a film editor best known for his work on the science fiction thriller "The Cloverfield Paradox."
-
E.
Don Hahn
Don Hahn is an American film producer best known for overseeing several of Disney’s most acclaimed animated features, including Beauty and the Beast and The Lion King.
- 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_69e11e57483c8190b0887c4f8ff26446 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15edad0248190b990ddffbc786e05 |
completed | April 29, 2026, 1:28 a.m. |
Created at: April 16, 2026, 8:51 p.m.