Triple
T5652966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aliens (film score) |
E124548
|
entity |
| Predicate | containsTrack |
P3284
|
FINISHED |
| Object | Bad Dreams |
E447286
|
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: Bad Dreams | Statement: [Aliens (film score), containsTrack, Bad Dreams]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bad Dreams Context triple: [Aliens (film score), containsTrack, Bad Dreams]
-
A.
Bad Dreams
chosen
Bad Dreams is a 1988 psychological horror film about a cult survivor haunted by her past, directed by Andrew Fleming.
-
B.
Nightmares
"Nightmares" is a track from the hip-hop duo Clipse, featured on their critically acclaimed 2006 album *Hell Hath No Fury*.
-
C.
A Bad Dream
"A Bad Dream" is a melancholic piano-driven song by the English band Keane, known for its introspective lyrics and atmospheric, emotive sound.
-
D.
In Dreams
"In Dreams" is a 1963 Roy Orbison ballad renowned for its haunting melody, operatic vocal style, and enduring influence on pop and rock music.
-
E.
See You in My Nightmares
"See You in My Nightmares" is a dark, emotionally charged track by Kanye West featuring Lil Wayne from his influential, Auto-Tune-heavy album *808s & Heartbreak*.
- 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_69c00825df388190a58742fa9b1aa33d |
completed | March 22, 2026, 3:17 p.m. |
| NER | Named-entity recognition | batch_69c022d8a2588190b10de59edbc8841f |
completed | March 22, 2026, 5:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04d97b8dc8190865ff55071954b30 |
completed | March 22, 2026, 8:14 p.m. |
Created at: March 22, 2026, 3:42 p.m.