Triple

T3996243
Position Surface form Disambiguated ID Type / Status
Subject Like Water for Chocolate E87103 entity
Predicate hasPart P35 FINISHED
Object The 6th Sense E218751 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 6th Sense | Statement: [Like Water for Chocolate, hasPart, The 6th Sense]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The 6th Sense
Context triple: [Like Water for Chocolate, hasPart, The 6th Sense]
  • A. The Sixth Sense chosen
    The Sixth Sense is a 1999 supernatural thriller film written and directed by M. Night Shyamalan, best known for its atmospheric tension, twist ending, and Bruce Willis’s role as a child psychologist treating a boy who claims to see dead people.
  • B. Hollow Man
    Hollow Man is a 2000 science fiction horror film about a scientist who becomes dangerously unhinged after turning himself invisible.
  • C. Blink
    Blink is an open-source web browser engine developed primarily by Google and used in several major browsers to render web pages.
  • D. Blink
    Blink is a bestselling nonfiction book by Malcolm Gladwell that explores the power and pitfalls of rapid, intuitive decision-making.
  • E. Red Eye
    Red Eye is a 2005 psychological thriller film in which Cillian Murphy plays a charming but menacing terrorist who coerces a hotel manager during a tense overnight flight.
  • 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_69aed94118148190975e6aa4e554cde9 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefa2159d88190a01de8b038341916 completed March 9, 2026, 4:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5403f14ec8190a77189c7066676f2 completed March 14, 2026, 11:02 a.m.
Created at: March 9, 2026, 3:34 p.m.