Triple
T5242293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andrew Getty |
E118371
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Evil Within |
E266342
|
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: The Evil Within | Statement: [Andrew Getty, notableWork, The Evil Within]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Evil Within Context triple: [Andrew Getty, notableWork, The Evil Within]
-
A.
The Evil Within
chosen
The Evil Within is a survival horror video game directed by Shinji Mikami that follows detective Sebastian Castellanos as he confronts grotesque creatures and psychological terrors within a nightmarish, shifting reality.
-
B.
The Trespasser
The Trespasser is an early novel by D. H. Lawrence that explores intense emotional and romantic turmoil against a backdrop of social constraint.
-
C.
Until Dawn
Until Dawn is a cinematic survival horror video game that follows a group of teenagers trapped on a remote mountain, where player choices determine who survives until morning.
-
D.
Bloodborne
Bloodborne is a critically acclaimed action role-playing game by FromSoftware, known for its gothic horror atmosphere, challenging combat, and intricate world design.
-
E.
Deliver Us from Eva
Deliver Us from Eva is a 2003 romantic comedy film starring LL Cool J and Gabrielle Union about a charming ladies’ man enlisted to tame a notoriously controlling woman.
- 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_69bd4467db0881909b3b0982df32cc8f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b4c6fa8819099442b1b110e51fb |
completed | March 20, 2026, 4:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bef82b42308190b9e3e0e113d8093b |
completed | March 21, 2026, 7:57 p.m. |
Created at: March 20, 2026, 1:49 p.m.