Triple
T7092631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael De Luca |
E165233
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Blade |
E247089
|
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 | Statement: [Michael De Luca, notableWork, Blade]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blade Context triple: [Michael De Luca, notableWork, Blade]
-
A.
Blade
Blade is a Marvel Comics vampire hunter and half-vampire antihero known for battling supernatural threats alongside teams like the Avengers.
-
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 (1998 film)
chosen
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.
-
E.
Blade film series
The Blade film series is a set of action-horror movies centered on the Marvel Comics vampire hunter Blade, known for pioneering the modern wave of successful comic book adaptations in Hollywood.
- 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_69c6887e8c10819091cee237560d32da |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e532513c8190968eea8a0d3235a0 |
completed | March 27, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8569fbf4081909897b0e5456cd66a |
completed | March 28, 2026, 10:30 p.m. |
Created at: March 27, 2026, 2:41 p.m.