Triple
T14208869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rebecca Gayheart |
E352171
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object | Dead Like Me |
E817381
|
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: Dead Like Me | Statement: [Rebecca Gayheart, appearedIn, Dead Like Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dead Like Me Context triple: [Rebecca Gayheart, appearedIn, Dead Like Me]
-
A.
Dead Like Me
chosen
Dead Like Me is a dark comedy-drama television series that follows a young woman who becomes a grim reaper after her sudden death, exploring themes of mortality and the afterlife with sardonic humor.
-
B.
Dead Like You
Dead Like You is a crime thriller novel by British author Peter James, featuring Detective Superintendent Roy Grace investigating a series of brutal attacks linked to a past case.
-
C.
Playdead
Playdead is a Danish independent video game developer best known for creating the critically acclaimed puzzle-platformers Limbo and Inside.
-
D.
Dead Meat
Dead Meat is a segment or component of the series "The Science of Things," likely focusing on scientific or educational content related to meat, decay, or biological processes.
-
E.
Better Off Dead
Better Off Dead is a 1985 dark teen comedy film starring John Cusack as a heartbroken high school student whose increasingly absurd attempts to win back his ex-girlfriend lead to a series of surreal misadventures.
- 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_69d8278a06e481908b5d6af0a8afe737 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61fa8d24819092a8ec5d34c1c799 |
completed | April 14, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd19557f908190abb3dc116676f215 |
completed | May 7, 2026, 10:59 p.m. |
Created at: April 10, 2026, 1:05 a.m.