Triple
T10364124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mandeville Films |
E244207
|
entity |
| Predicate | notableWork |
P4
|
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: [Mandeville Films, notableWork, Warm Bodies]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Warm Bodies Context triple: [Mandeville Films, notableWork, 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.
Love and Monsters
Love and Monsters is a post-apocalyptic adventure-comedy film in which a young man braves a monster-infested world to reunite with his girlfriend.
-
D.
Love and Other Catastrophes
Love and Other Catastrophes is a 1996 Australian romantic comedy film that follows the chaotic love lives and academic mishaps of a group of university students in Melbourne.
-
E.
Bodies
Bodies is a British television drama series featuring Keith Allen in a prominent role, known for its gritty and realistic portrayal of hospital life and medical ethics.
- 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e963a6148190822951e72590b9df |
completed | April 7, 2026, 11:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7fb827cd4819094bead4304795c33 |
completed | April 9, 2026, 7:18 p.m. |
Created at: April 6, 2026, noon