Triple

T14711318
Position Surface form Disambiguated ID Type / Status
Subject Olympic coven E345553 entity
Predicate appearsIn P795 FINISHED
Object New Moon E305182 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: New Moon | Statement: [Olympic coven, appearsIn, New Moon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: New Moon
Context triple: [Olympic coven, appearsIn, New Moon]
  • A. The New Moon
    The New Moon is a 1928 operetta by composer Sigmund Romberg, known for its romantic score and popular songs such as "Lover, Come Back to Me."
  • B. The Twilight Saga: New Moon chosen
    The Twilight Saga: New Moon is the second film in the popular Twilight vampire romance series, continuing the story of Bella Swan, Edward Cullen, and Jacob Black.
  • C. Luna: New Moon
    Luna: New Moon is a science fiction novel by Ian McDonald that portrays a brutal, feudal-style struggle for power among rival corporate families on a colonized Moon.
  • D. Twilight
    "Twilight" is a classic science fiction short story by John W. Campbell Jr. that explores themes of technological decay and the distant future of humanity.
  • E. Twilight
    "Twilight" is a popular young adult vampire romance novel by Stephenie Meyer that follows the relationship between teenager Bella Swan and vampire Edward Cullen.
  • 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_69d822e4a8c08190a155df736bb7bc13 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb982bf248190881e21a8a0861a3f completed April 14, 2026, 10:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b43360481908dc73d5e6758fea6 completed May 8, 2026, 11:01 p.m.
Created at: April 10, 2026, 1:28 a.m.