Triple

T16215344
Position Surface form Disambiguated ID Type / Status
Subject Cleveland Heep E393578 entity
Predicate appearsIn P795 FINISHED
Object Lady in the Water E89989 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: Lady in the Water | Statement: [Cleveland Heep, appearsIn, Lady in the Water]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lady in the Water
Context triple: [Cleveland Heep, appearsIn, Lady in the Water]
  • A. Lady in the Water chosen
    Lady in the Water is a 2006 fantasy thriller film written and directed by M. Night Shyamalan about a mysterious water nymph discovered in a Philadelphia apartment complex’s pool.
  • B. Flushed Away
    Flushed Away is a 2006 computer-animated comedy film that follows a pampered pet rat thrust into a bustling underground sewer city, blending British humor with fast-paced adventure.
  • C. Splash, Too
    Splash, Too is a 1988 made-for-television sequel to the romantic fantasy film Splash, continuing the story of a man and the mermaid he loves.
  • D. Catfish
    Catfish is a documentary film that explores online identity and deception through the story of a man who develops a relationship with someone he met on social media.
  • E. The Waterboy
    The Waterboy is a 1998 sports comedy film starring Adam Sandler as a socially awkward college football team water boy who discovers a talent for tackling.
  • 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_69d87f1f5bd08190bd01cac0d5b9d2ef completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e227f4685c8190aa1e9304e4a62d13 completed April 17, 2026, 12:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000794e6c881909c4521e4dd031971 completed May 10, 2026, 4:20 a.m.
Created at: April 10, 2026, 5:03 a.m.