Triple
T9112751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morten Tyldum |
E218641
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Passengers |
E136605
|
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: Passengers | Statement: [Morten Tyldum, notableWork, Passengers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Passengers Context triple: [Morten Tyldum, notableWork, Passengers]
-
A.
Passengers
Passengers is an experimental music project formed by U2 and producer Brian Eno, known for its atmospheric, soundtrack-style compositions.
-
B.
Passengers
chosen
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.
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.
-
D.
The Passenger
"The Passenger" is a 1977 rock song by Iggy Pop, known for its driving rhythm, iconic "la-la-la" chorus, and enduring influence as one of his signature tracks.
-
E.
Passenger 57
Passenger 57 is a 1992 American action thriller film starring Wesley Snipes as an airline security expert who must thwart a terrorist hijacking mid-flight.
- 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_69ca83dc94ac8190b9ef42684d36ff39 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca84b0a048190964f560f78e27cce |
completed | April 1, 2026, 5:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d03052716c8190835b0d3357a29ce5 |
completed | April 3, 2026, 9:25 p.m. |
Created at: March 30, 2026, 7:16 p.m.