Triple
T19913116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 29 |
E478596
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Stay Alive |
—
|
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: Stay Alive | Statement: [29, hasTrack, Stay Alive]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stay Alive Context triple: [29, hasTrack, Stay Alive]
-
A.
Stay Alive
chosen
Stay Alive is a 2006 supernatural horror film about a cursed video game that kills its players in real life.
-
B.
She’s Alive
"She’s Alive" is a song by André 3000 from OutKast’s acclaimed double album *Speakerboxxx/The Love Below*, known for its introspective lyrics and experimental, genre-blending sound.
-
C.
I’m Alive
"I'm Alive" is an emotional song performed by the character Gabe Goodman in the rock musical *Next to Normal*, expressing his intense presence and connection to his family.
-
D.
I’m Alive
"I'm Alive" is an upbeat pop song by Canadian singer Celine Dion, best known for its uplifting lyrics and for featuring on the soundtrack of the film "Stuart Little 2."
-
E.
Stayin' Alive
"Stayin' Alive" is a 1977 disco song by the Bee Gees, best known for its iconic falsetto vocals and association with the film Saturday Night Fever.
- 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_69d8e520682081909892916424699bd5 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e659917fdc8190bf29bfdab0fe8f85 |
completed | April 20, 2026, 4:51 p.m. |
Created at: April 10, 2026, 1:53 p.m.