Triple

T9801185
Position Surface form Disambiguated ID Type / Status
Subject Jessica Alba E237840 entity
Predicate notableWork P4 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: [Jessica Alba, notableWork, Dark Angel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dark Angel
Context triple: [Jessica Alba, notableWork, 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. 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.
  • C. 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.”
  • D. 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.
  • E. Lost Angels
    Lost Angels is a 1989 American drama film directed by Hugh Hudson that explores the troubled life of a rebellious teenager sent to a psychiatric hospital in 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_69ca84dd4608819097ff4ed00feca280 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda62a11a88190880e0cce24923b14 completed April 1, 2026, 11:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c44a652c81908f644e1a5efe3eb1 completed April 5, 2026, 2:09 a.m.
Created at: March 30, 2026, 8:29 p.m.