Triple

T16105709
Position Surface form Disambiguated ID Type / Status
Subject Wayne Wang E390732 entity
Predicate directed P7373 FINISHED
Object Maid in Manhattan E341616 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: Maid in Manhattan | Statement: [Wayne Wang, directed, Maid in Manhattan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maid in Manhattan
Context triple: [Wayne Wang, directed, Maid in Manhattan]
  • A. Maid in Manhattan chosen
    Maid in Manhattan is a 2002 romantic comedy film in which Jennifer Lopez stars as a hotel maid who unexpectedly falls in love with a wealthy politician.
  • B. Manhattan Love Story
    Manhattan Love Story is a short-lived American romantic comedy television series that follows the dating lives and inner thoughts of a young couple in New York City.
  • C. First We Take Manhattan
    "First We Take Manhattan" is a darkly prophetic, synth-driven song by Leonard Cohen that blends political and apocalyptic imagery with his signature poetic lyricism.
  • D. Love in the Big City
    Love in the Big City is a popular Russian-Ukrainian romantic comedy film known for its lighthearted take on modern relationships and urban life.
  • E. Manhattan Transfer
    Manhattan Transfer is an American vocal jazz group renowned for its intricate harmonies, genre-blending arrangements, and influential contributions to contemporary jazz and pop vocal music.
  • 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_69d87f1a8dd881909f1de6ef78849874 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e1ff6d81d081909e1315f4dbfd7369 completed April 17, 2026, 9:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff2a16acc8190be9ed181c7a44def completed May 10, 2026, 2:51 a.m.
Created at: April 10, 2026, 5 a.m.