Triple
T22269174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miss Sarajevo |
E550428
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Passengers |
—
|
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: Passengers | Statement: [Miss Sarajevo, associatedAct, Passengers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Passengers Context triple: [Miss Sarajevo, associatedAct, Passengers]
-
A.
Passengers
chosen
Passengers is an experimental music project formed by U2 and producer Brian Eno, known for its atmospheric, soundtrack-style compositions.
-
B.
Passengers
Passengers is a 2016 science fiction romance film starring Jennifer Lawrence and Chris Pratt as space travelers who awaken prematurely from hibernation on an interstellar voyage.
-
C.
Passenger
Passenger is the stage name of English singer-songwriter Mike Rosenberg, best known for his folk-influenced acoustic music and the global hit single "Let Her Go."
-
D.
The Passenger
The Passenger is a late-career novel by Cormac McCarthy that follows a haunted salvage diver entangled in mystery, guilt, and philosophical inquiry in the aftermath of his sister’s suicide.
-
E.
The Passenger
The Passenger is a 2023 psychological horror film that follows a fast-food worker forced on a violent road trip by his unstable coworker.
- 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_69e11e43d8208190aff4f9cf7f2c2a8a |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f141bde9f88190b533bcb88787b492 |
completed | April 28, 2026, 11:24 p.m. |
Created at: April 16, 2026, 8:40 p.m.