Triple
T17944893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bruna Papandrea |
E448677
|
entity |
| Predicate | produced |
P490
|
FINISHED |
| Object | "Warm Bodies" |
—
|
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: "Warm Bodies" | Statement: [Bruna Papandrea, produced, "Warm Bodies"]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: "Warm Bodies" Context triple: [Bruna Papandrea, produced, "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 an experimental metal duo from the United States known for their crushingly heavy sound, genre-blurring collaborations, and bleak, noise-infused approach to doom and sludge metal.
-
C.
The Body
The Body is a Spanish mystery thriller film known for its suspenseful plot involving a missing corpse and the dark secrets it uncovers.
-
D.
The Body
"The Body" is a science fiction novel by Alan E. Nourse that explores medical and ethical dilemmas through a speculative, futuristic lens.
-
E.
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."
- 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_69d8b9f8cca8819099836916c56b7c95 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4ad9819a88190ad4ea7d562cf3f28 |
completed | April 19, 2026, 10:25 a.m. |
Created at: April 10, 2026, 10:21 a.m.