Triple

T8294394
Position Surface form Disambiguated ID Type / Status
Subject Nick Searcy E194177 entity
Predicate notableWork P4 FINISHED
Object The Shape of Water E38368 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: The Shape of Water | Statement: [Nick Searcy, notableWork, The Shape of Water]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Shape of Water
Context triple: [Nick Searcy, notableWork, The Shape of Water]
  • A. The Shape of Water chosen
    The Shape of Water is a 2017 romantic fantasy film that blends a Cold War-era fairy tale with themes of otherness and empathy, directed by Guillermo del Toro.
  • B. La La Land
    La La Land is a 2016 romantic musical film that follows the love story of an aspiring actress and a jazz musician in Los Angeles, celebrated for its nostalgic homage to classic Hollywood musicals and its acclaimed direction, music, and performances.
  • C. Spotlight
    "Spotlight" is an R&B ballad by Jennifer Hudson that showcases her powerful vocals and explores themes of control and emotional struggle in a relationship.
  • D. Spotlight
    "Spotlight" is an Academy Award–winning investigative drama film about The Boston Globe's uncovering of widespread child abuse within the Catholic Church.
  • E. Spotlight
    Spotlight is a curated program within the New York Film Festival that showcases notable new films, special screenings, and high-profile premieres outside the main competition.
  • 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_69ca82e50ebc81909aa7b260c76bd757 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7df5fff88190ac51a8d1c3eb2fe2 completed March 31, 2026, 7:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd6899b818819090c80a8eba7d5d4c completed April 1, 2026, 6:48 p.m.
Created at: March 30, 2026, 5:52 p.m.