Triple
T7469737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leonor Varela |
E176470
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object | Blade II |
E31744
|
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: Blade II | Statement: [Leonor Varela, appearedIn, Blade II]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blade II Context triple: [Leonor Varela, appearedIn, Blade II]
-
A.
Blade II
chosen
Blade II is a 2002 superhero horror-action film directed by Guillermo del Toro, following the vampire hunter Blade as he battles a new mutant vampire strain.
-
B.
Blade
Blade is the superhero-style mascot character of the Gold Coast Titans rugby league team in Australia's National Rugby League.
-
C.
Blade
Blade is Laravel’s lightweight, PHP-based templating engine that lets developers write clean, reusable view templates with simple, expressive syntax.
-
D.
Blade
Blade is a Marvel Comics vampire hunter and half-vampire antihero known for battling supernatural threats alongside teams like the Avengers.
-
E.
Blade (1998 film)
Blade (1998 film) is a 1998 superhero horror movie based on the Marvel Comics character, following a half-vampire warrior who hunts vampires in a dark, action-driven narrative.
- 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_69c69f223fd88190b4c69b95d7cbeeda |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f3f845e081908117783ff1e63e23 |
completed | March 27, 2026, 9:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c83c625a388190bfe9237568ab2005 |
completed | March 28, 2026, 8:38 p.m. |
Created at: March 27, 2026, 3:41 p.m.