Triple
T20239136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lust for Life |
E498233
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | The Passenger |
—
|
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: The Passenger | Statement: [Lust for Life, hasTrack, The Passenger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Passenger Context triple: [Lust for Life, hasTrack, The Passenger]
-
A.
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.
-
B.
The Passenger
"The Passenger" is a short story set in the universe of the 1995 LucasArts adventure game Full Throttle, expanding on its world of outlaw bikers and dystopian highways.
-
C.
The Passenger
chosen
"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.
-
D.
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.
-
E.
The Silent Passenger
The Silent Passenger is a 1935 British mystery film featuring the character Lord Peter Wimsey in a murder plot set aboard a train.
- 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_69da6274c58c81909c646eabed6f4f30 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6716c8de88190916bfa1d6b7f79cb |
completed | April 20, 2026, 6:33 p.m. |
Created at: April 11, 2026, 11:40 p.m.