Triple

T23339641
Position Surface form Disambiguated ID Type / Status
Subject Heavy Metal (film) E591698 entity
Predicate hasSegment P3574 FINISHED
Object Den
Den is a fantasy segment of the animated anthology film "Heavy Metal," following a nerdy teenager transported to a barbaric world where he becomes a powerful, muscle-bound hero.
E1581726 NE FINISHED

How this triple was built (4 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: Den | Statement: [Heavy Metal (film), hasSegment, Den]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Den
Context triple: [Heavy Metal (film), hasSegment, Den]
  • A. Den
    Den is a central fictional character from the British soap opera "EastEnders," known for his complex relationships and dramatic storylines in the early years of the show.
  • B. Den
    Den was a prominent pharaoh of Egypt’s First Dynasty, known for early administrative innovations and military campaigns that helped consolidate the young Egyptian state.
  • C. Den
    Den is a Japanese surname borne by various notable figures in politics, industry, and the arts.
  • D. Dan
    Dan was the personal name of Emperor Xizong, a 12th-century ruler of the Jurchen-led Jin dynasty in northern China.
  • E. Dan
    Dan is the protagonist of Cory Doctorow's science fiction novel "Down and Out in the Magic Kingdom," a post-scarcity future resident of a reputation-based society centered around a Disney theme park.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Den
Triple: [Heavy Metal (film), hasSegment, Den]
Generated description
Den is a fantasy segment of the animated anthology film "Heavy Metal," following a nerdy teenager transported to a barbaric world where he becomes a powerful, muscle-bound hero.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Den
Target entity description: Den is a fantasy segment of the animated anthology film "Heavy Metal," following a nerdy teenager transported to a barbaric world where he becomes a powerful, muscle-bound hero.
  • A. Den
    Den was a prominent pharaoh of Egypt’s First Dynasty, known for early administrative innovations and military campaigns that helped consolidate the young Egyptian state.
  • B. Den
    Den is a Japanese surname borne by various notable figures in politics, industry, and the arts.
  • C. Den
    Den is a central fictional character from the British soap opera "EastEnders," known for his complex relationships and dramatic storylines in the early years of the show.
  • D. Dan
    Dan is the protagonist of Cory Doctorow's science fiction novel "Down and Out in the Magic Kingdom," a post-scarcity future resident of a reputation-based society centered around a Disney theme park.
  • E. Dan
    Dan is a male given name commonly used in English-speaking countries, often as a short form of Daniel.
  • F. None of above. chosen

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_69e25d20156c81908c5c53195bd9c738 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f198317f4c8190a557cacb86568d6c completed April 29, 2026, 5:33 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c4cb44540819093c6d899dd17347d completed May 19, 2026, 11:42 a.m.
NEDg Description generation batch_6a0c4ef9dcc48190b0c0ca52555f5490 completed May 19, 2026, 11:52 a.m.
NED2 Entity disambiguation (via description) batch_6a0c506b25ec819084b9522fa827abe7 completed May 19, 2026, 11:58 a.m.
Created at: April 17, 2026, 5:18 p.m.