Triple
T11344409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RJD2 |
E268678
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Stranger (track) |
E920678
|
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: The Stranger (track) | Statement: [RJD2, notableWork, The Stranger (track)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Stranger (track) Context triple: [RJD2, notableWork, The Stranger (track)]
-
A.
The Stranger (single)
chosen
"The Stranger" is a hip-hop/electronic instrumental single by producer RJD2, known for its cinematic sound and intricate sampling.
-
B.
The Stranger Song
"The Stranger Song" is a melancholic folk ballad by Leonard Cohen that reflects on themes of love, transience, and emotional detachment.
-
C.
Stranger
Stranger is a song by the American rock band Glitter.
-
D.
Stranger
"Stranger" is a 2017 studio album by Swedish rapper and singer Yung Lean, showcasing his melancholic, atmospheric take on cloud rap and alternative hip hop.
-
E.
Strangerland
Strangerland is a 2015 Australian mystery drama film set in a remote desert town, following parents whose children disappear amid a dust storm.
- 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_69d6aacbe18081909e5fadb50082dd96 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea1f9574819089760c5b5908f09e |
completed | April 9, 2026, 6:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e55649a9188190911608fef5894bd8 |
completed | April 19, 2026, 10:25 p.m. |
Created at: April 8, 2026, 9:33 p.m.