Triple
T18508312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anthony Ruivivar |
E452258
|
entity |
| Predicate | televisionSeriesAppearance |
P57975
|
FINISHED |
| Object | Banshee |
—
|
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: Banshee | Statement: [Anthony Ruivivar, televisionSeriesAppearance, Banshee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Banshee Context triple: [Anthony Ruivivar, televisionSeriesAppearance, Banshee]
-
A.
Banshee
chosen
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.
-
B.
Banshee
The Banshee is a fast, highly maneuverable Covenant ground-attack aircraft in the Halo video game series, known for its agile flight and plasma-based weaponry.
-
C.
Banshee (Marvel Comics character)
Banshee is a Marvel Comics mutant superhero best known as a member of the X-Men who uses his powerful sonic scream for flight and combat.
-
D.
Wraith
Wraith is a horror comic series by Joe Hill that expands on the sinister world and characters of his novel "NOS4A2."
-
E.
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.
- 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_69d8d386df84819092355ebb260d848e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53344033c8190a0883aef56ba79c3 |
completed | April 19, 2026, 7:55 p.m. |
Created at: April 10, 2026, 11:36 a.m.