Triple

T16147414
Position Surface form Disambiguated ID Type / Status
Subject Ken Biller E391820 entity
Predicate workOn P30363 FINISHED
Object Dark Angel E330950 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: Dark Angel | Statement: [Ken Biller, workOn, Dark Angel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dark Angel
Context triple: [Ken Biller, workOn, Dark Angel]
  • A. Dark Angel chosen
    Dark Angel is a science fiction television series set in a dystopian future, following a genetically enhanced super-soldier named Max as she navigates life in a post-apocalyptic Seattle.
  • B. Dark Angel
    Dark Angel is a prominent sandstone rock formation and popular hiking destination located within the Devils Garden area of Arches National Park in Utah.
  • C. The Dark Angel
    The Dark Angel is a 1935 romantic drama film best known for Merle Oberon’s acclaimed performance and its Academy Award recognition.
  • D. New Angel
    New Angel is the English rendering of the title of Paul Klee’s famous 1920 monoprint “Angelus Novus,” often associated with Walter Benjamin’s interpretation of the “angel of history.”
  • E. Strange Angel
    Strange Angel is a television drama series that explores the life of rocket engineer and occultist Jack Parsons in 1930s–40s Los Angeles.
  • 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_69d87f1c65e48190aa2b4c472e9bafc4 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21d947e68819081b4b7c757ce71b6 completed April 17, 2026, 11:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff7a7dc3481909f933acd72d6feff completed May 10, 2026, 3:12 a.m.
Created at: April 10, 2026, 5:01 a.m.