Triple
T20432225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asia Argento |
E501159
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Land of the Dead |
—
|
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: Land of the Dead | Statement: [Asia Argento, notableWork, Land of the Dead]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Land of the Dead Context triple: [Asia Argento, notableWork, Land of the Dead]
-
A.
Land of the Dead
chosen
Land of the Dead is a 2005 horror film directed by George A. Romero that continues his iconic zombie saga in a post-apocalyptic, class-divided city.
-
B.
Land of the Dead
Land of the Dead is the stylized, film noir–inspired afterlife world through which souls journey in the adventure game Grim Fandango.
-
C.
Land of the Dead
Land of the Dead is a vibrant, fantastical afterlife realm in Pixar's "Coco," where deceased ancestors live in a colorful city sustained by the memories of the living.
-
D.
Land of the Living
Land of the Living is a work associated with Dante that explores themes of life, morality, and the human condition in a spiritually charged setting.
-
E.
Land of the Living
"Land of the Living" is a song by Don Henley from his 1984 solo album "Building the Perfect Beast."
- 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_69e0b4ab3cfc8190ac9bf32e932316b1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e685eaa4c8819083d1d7aee0f998a6 |
completed | April 20, 2026, 8 p.m. |
Created at: April 16, 2026, 11:31 a.m.