Triple
T2850255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nicholas Hoult |
E63073
|
entity |
| Predicate | workTitle |
P24259
|
FINISHED |
| Object | Warm Bodies |
E303058
|
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: Warm Bodies | Statement: [Nicholas Hoult, workTitle, Warm Bodies]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Warm Bodies Context triple: [Nicholas Hoult, workTitle, Warm Bodies]
-
A.
Warm Bodies
chosen
Warm Bodies is a 2013 romantic zombie comedy film that blends horror and humor as it follows an unusual relationship between a zombie and a human girl in a post-apocalyptic world.
-
B.
The Body
"The Body" is a coming-of-age novella by Stephen King, best known as the basis for the 1986 film "Stand by Me."
-
C.
Let the Right One In
Let the Right One In is a critically acclaimed 2008 Swedish romantic horror film about the bond between a bullied boy and a mysterious child vampire.
-
D.
Love in the Dark
"Love in the Dark" is a soulful piano ballad by Adele, featured on her 2015 album "25," known for its emotional vocals and themes of heartbreak and letting go.
-
E.
Still Here
"Still Here" is a song by Jennifer Hudson from her debut studio album "I Remember Me."
- 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_69ab4c407c408190857d25e027155ce9 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdf437328819098506ec8a3a23e11 |
completed | March 7, 2026, 8:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b01d81e76c8190aae5e6dd9b13e28b |
completed | March 10, 2026, 1:32 p.m. |
Created at: March 6, 2026, 10:02 p.m.