Triple

T17884539
Position Surface form Disambiguated ID Type / Status
Subject Image Comics E447167 entity
Predicate publishes P80 FINISHED
Object Black Science NE NERFINISHED

How this triple was built (3 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: Black Science | Statement: [Image Comics, publishes, Black Science]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Black Science
Context triple: [Image Comics, publishes, Black Science]
  • A. Fragments of Science
    Fragments of Science is a collection of popular scientific essays and lectures by physicist John Tyndall that helped introduce Victorian audiences to contemporary developments in physics and natural philosophy.
  • B. In the Name of Science
    In the Name of Science is the original title of Martin Gardner’s influential 1950 book critically examining pseudoscience and popular scientific misconceptions.
  • C. The Highest Science
    The Highest Science is a Doctor Who novel by Gareth Roberts that features the Seventh Doctor and Bernice Summerfield confronting mysterious alien forces and temporal anomalies.
  • D. Mr. Science Fiction
    Mr. Science Fiction is the nickname of Forrest J Ackerman, a pioneering science fiction fan, editor, and literary agent renowned for his vast genre collection and influence on sci-fi fandom.
  • E. Science Inc.
    Science Inc. is a consumer products company known for developing and marketing innovative, data-driven brands such as the meal replacement drink Soylent.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Black Science
Target entity description: Black Science is a science fiction comic book series created by Rick Remender that follows a dimension-hopping anarchist scientist and his team as they navigate dangerous alternate realities.
  • A. Fragments of Science
    Fragments of Science is a collection of popular scientific essays and lectures by physicist John Tyndall that helped introduce Victorian audiences to contemporary developments in physics and natural philosophy.
  • B. In the Name of Science
    In the Name of Science is the original title of Martin Gardner’s influential 1950 book critically examining pseudoscience and popular scientific misconceptions.
  • C. The Highest Science
    The Highest Science is a Doctor Who novel by Gareth Roberts that features the Seventh Doctor and Bernice Summerfield confronting mysterious alien forces and temporal anomalies.
  • D. Mr. Science Fiction
    Mr. Science Fiction is the nickname of Forrest J Ackerman, a pioneering science fiction fan, editor, and literary agent renowned for his vast genre collection and influence on sci-fi fandom.
  • E. Science Inc.
    Science Inc. is a consumer products company known for developing and marketing innovative, data-driven brands such as the meal replacement drink Soylent.
  • F. None of above. chosen

Provenance (2 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_69d8b9f59bd48190a6fc925a855b8bac completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49c11530881908ad98fbd0a52b1c3 completed April 19, 2026, 9:10 a.m.
Created at: April 10, 2026, 10:18 a.m.