Triple
T20701507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charlie Manx |
E508793
|
entity |
| Predicate | vehicleName |
P55902
|
FINISHED |
| Object | The Wraith |
—
|
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: The Wraith | Statement: [Charlie Manx, vehicleName, The Wraith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Wraith Context triple: [Charlie Manx, vehicleName, The Wraith]
-
A.
The Wraith
chosen
The Wraith is a 1986 cult action-horror film blending supernatural revenge and car-racing elements, starring Charlie Sheen and Nick Cassavetes.
-
B.
Eidolon
Eidolon is a genus of large African fruit bats known for their long-distance migrations and important role in seed dispersal.
-
C.
Eidolon
Eidolon is an online classics journal and magazine that presents accessible, socially engaged writing on the ancient world for a broad contemporary audience.
-
D.
Wraithborne
Wraithborne is a fantasy-themed action role-playing game for mobile platforms featuring fast-paced combat and spellcasting.
-
E.
Wraith
Wraith is a horror comic series by Joe Hill that expands on the sinister world and characters of his novel "NOS4A2."
- 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_69e0b4c2b2a481909e31e9cb8f81ab55 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6c18bfac08190bf80beeb3ce1951a |
completed | April 21, 2026, 12:15 a.m. |
Created at: April 16, 2026, 12:12 p.m.