Triple

T27642722
Position Surface form Disambiguated ID Type / Status
Subject Supercrooks (Netflix anime series) E696627 entity
Predicate character P662 FINISHED
Object The Heat
The Heat is a powerful, veteran supervillain and master thief who serves as a central figure and mentor to the crew in the anime series *Supercrooks*.
E1790267 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: The Heat | Statement: [Supercrooks (Netflix anime series), character, The Heat]
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: The Heat
Triple: [Supercrooks (Netflix anime series), character, The Heat]
Generated description
The Heat is a powerful, veteran supervillain and master thief who serves as a central figure and mentor to the crew in the anime series *Supercrooks*.

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_69ef5909f3848190805f35b76833e722 completed April 27, 2026, 12:39 p.m.
NER Named-entity recognition batch_69f63192695c8190817b8f37d9222d7f completed May 2, 2026, 5:17 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12f709313c81908a2755dcd0eebd73 completed May 24, 2026, 1:03 p.m.
NEDg Description generation batch_6a12f77f72908190852abf98c06f0be0 completed May 24, 2026, 1:05 p.m.
NED2 Entity disambiguation (via description) batch_6a12f7daa250819088e8602bbe48463a completed May 24, 2026, 1:06 p.m.
Created at: April 27, 2026, 2:27 p.m.