Triple
T37610681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Devil May Cry |
E935775
|
entity |
| Predicate | hasAdaptation |
P1690
|
FINISHED |
| Object |
Devil May Cry: The Animated Series
Devil May Cry: The Animated Series is a Japanese anime adaptation of Capcom's stylish action game franchise, following demon hunter Dante through episodic supernatural missions.
|
E2235223
|
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: Devil May Cry: The Animated Series | Statement: [Devil May Cry, hasAdaptation, Devil May Cry: The Animated Series]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Devil May Cry: The Animated Series Triple: [Devil May Cry, hasAdaptation, Devil May Cry: The Animated Series]
Generated description
Devil May Cry: The Animated Series is a Japanese anime adaptation of Capcom's stylish action game franchise, following demon hunter Dante through episodic supernatural missions.
Provenance (5 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_69f76ed0a85481909254a8a89090c826 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fba905297481909493a63be159a5ce |
completed | May 6, 2026, 8:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a40afe151e481909ad6a1c1f00c6810 |
completed | June 28, 2026, 5:23 a.m. |
| NEDg | Description generation | batch_6a40b100f8f081908b94b255d1818cb7 |
completed | June 28, 2026, 5:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a40b198b5cc819096b8a6aff1049665 |
completed | June 28, 2026, 5:31 a.m. |
Created at: May 3, 2026, 4:18 p.m.