Triple
T8319310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NOS4A2 |
E194787
|
entity |
| Predicate | hasRelatedWork |
P922
|
FINISHED |
| Object | Wraith |
E194795
|
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: Wraith | Statement: [NOS4A2, hasRelatedWork, Wraith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wraith Context triple: [NOS4A2, hasRelatedWork, Wraith]
-
A.
Wraith
chosen
Wraith is a horror comic series by Joe Hill that expands on the sinister world and characters of his novel "NOS4A2."
-
B.
Wraith
The Wraith are a vampiric, hive-based alien species in Stargate Atlantis who feed on human life-force and serve as the show's primary recurring antagonists.
-
C.
Witch Wraith
Witch Wraith is a fantasy novel by Terry Brooks in the Shannara universe, concluding The Dark Legacy of Shannara trilogy with a climactic struggle to save the Four Lands from ancient evil.
-
D.
The Wraith
The Wraith is a 1986 cult action-horror film blending supernatural revenge and car-racing elements, starring Charlie Sheen and Nick Cassavetes.
-
E.
Banshee
Banshee is an American action-drama television series known for its violent, stylized storytelling about an ex-con assuming a dead sheriff’s identity in a small Amish-country town.
- 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_69ca82e7a8a88190a32bb5cc0feb012d |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7f648e10819081ad1fed870b2b86 |
completed | March 31, 2026, 8:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd9596891c81909296050d0a8117ca |
completed | April 1, 2026, 10 p.m. |
Created at: March 30, 2026, 5:55 p.m.