Triple
T18359285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Secret Messages |
E439872
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Stranger |
—
|
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: Stranger | Statement: [Secret Messages, hasPart, Stranger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stranger Context triple: [Secret Messages, hasPart, Stranger]
-
A.
Stranger
chosen
Stranger is a song by the American rock band Glitter.
-
B.
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.
-
C.
Strangers
"Strangers" is a breakout pop single by Norwegian singer-songwriter Sigrid, known for its soaring chorus and emotionally charged lyrics about disillusionment in relationships.
-
D.
Strangers
Strangers is a bestselling suspense thriller novel by Dean Koontz that weaves together the mysterious experiences of several strangers drawn to a remote motel to confront a terrifying shared secret.
-
E.
Strangers
Strangers is a 1987 novel by Taichi Yamada that blends supernatural elements with psychological drama, following a lonely man who encounters ghostly figures from his past.
- 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_69d8b918221c8190a9f7b563d64ac677 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e516d9dba8819088c5d772e3ee670d |
completed | April 19, 2026, 5:54 p.m. |
Created at: April 10, 2026, 10:37 a.m.