Triple
T12905191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Only the Good Die Young |
E308712
|
entity |
| Predicate | includedInAlbum |
P1925
|
FINISHED |
| Object | The Stranger |
E920638
|
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 | Statement: [Only the Good Die Young, includedInAlbum, The Stranger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Stranger Context triple: [Only the Good Die Young, includedInAlbum, The Stranger]
-
A.
The Stranger
The Stranger is a landmark existential novel by Albert Camus that explores themes of absurdism, alienation, and the indifference of the universe through the detached perspective of its protagonist, Meursault.
-
B.
The Stranger
The Stranger is an ancient Greek comedy by the playwright Diphilus, known from fragments and later adaptations in Roman New Comedy.
-
C.
The Stranger
The Stranger is a 1946 American film noir directed by Orson Welles, known for its suspenseful story about a Nazi fugitive hiding in a small Connecticut town.
-
D.
The Stranger
The Stranger is a notable work by author Gretchen Young, recognized for its contribution to contemporary literature.
-
E.
The Stranger
chosen
The Stranger is a track by American producer RJD2, known for its intricate sampling, atmospheric production, and blend of hip-hop and electronic influences.
- 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_69d7bdf92b588190acdf2a2291ac4590 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971831bd48190b0ecd13e7181bbc6 |
completed | April 10, 2026, 9:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d5ef4ba8819099335d155feb01d9 |
completed | May 3, 2026, 4:58 a.m. |
Created at: April 9, 2026, 5:41 p.m.