Triple

T8267741
Position Surface form Disambiguated ID Type / Status
Subject Michael Weatherly E193342 entity
Predicate appearedIn P795 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: [Michael Weatherly, appearedIn, Dark Angel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dark Angel
Context triple: [Michael Weatherly, appearedIn, 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. Evil Angel
    Evil Angel is a prominent American adult film production company known for its influential directors and high-quality, hardcore content.
  • C. Fallen Angels
    Fallen Angels is a notable work by American author Jack Frost, recognized for its dark, atmospheric storytelling centered on morally complex characters.
  • D. Hell's Angel
    Hell's Angel is a 1994 documentary film by Christopher Hitchens that critically examines and challenges the public image and charitable work of Mother Teresa.
  • E. Angelus
    The Angelus is a traditional Catholic prayer recited three times daily in honor of the Incarnation, often accompanied by the ringing of church bells.
  • 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_69ca82e081d48190986beaa51f498ab9 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb794fc4208190b268bc69ff2b28a9 completed March 31, 2026, 7:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd9505ecb08190bfe4025c858d7ef9 completed April 1, 2026, 9:58 p.m.
Created at: March 30, 2026, 5:50 p.m.