Triple

T9518641
Position Surface form Disambiguated ID Type / Status
Subject Ernst Lubitsch E229587 entity
Predicate directed P7373 FINISHED
Object Angel E528305 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: Angel | Statement: [Ernst Lubitsch, directed, Angel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Angel
Context triple: [Ernst Lubitsch, directed, Angel]
  • A. Angel chosen
    "Angel" is a 1937 romantic comedy film directed by Ernst Lubitsch, known for its sophisticated wit and starring Marlene Dietrich, Herbert Marshall, and Melvyn Douglas.
  • B. Angel
    Angel is a winged mutant warrior in the X-Men universe, often depicted with metallic feathered wings and a conflicted, tormented nature.
  • C. Angel
    Angel is a given name used across various cultures, often associated with spiritual or celestial connotations.
  • D. Angel
    "Angel" is a romantic reggae fusion song by Shaggy, featuring Rayvon, best known for its smooth melody and chart-topping success in the early 2000s.
  • E. Angel
    Angel is a character in William Wordsworth's autobiographical poem "The Prelude," symbolizing spiritual guidance and inspiration in the poet's inner and artistic development.
  • 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_69ca847870a881909d8d751a7d29da39 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9881e0f081909a0177cedc2e8b95 completed April 1, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69d13a51292c8190b871509a32897251 completed April 4, 2026, 4:20 p.m.
Created at: March 30, 2026, 7:59 p.m.