Triple

T4476309
Position Surface form Disambiguated ID Type / Status
Subject Jake Peralta E100016 entity
Predicate favoriteMovie P56777 FINISHED
Object Die Hard E98150 NE FINISHED

How this triple was built (3 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: Die Hard | Statement: [Jake Peralta, favoriteMovie, Die Hard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Die Hard
Context triple: [Jake Peralta, favoriteMovie, Die Hard]
  • A. Die Hard (1988 film) chosen
    Die Hard (1988 film) is a landmark 1980s action movie starring Bruce Willis as NYPD officer John McClane, who battles terrorists in a Los Angeles skyscraper and helped redefine the modern action genre.
  • B. DieHard
    DieHard is a well-known brand of automotive batteries recognized for their durability and long-lasting performance.
  • C. Die Hard (film series)
    Die Hard (film series) is a popular American action franchise centered on NYPD officer John McClane, known for its high-stakes plots, intense set pieces, and influential role in shaping modern action cinema.
  • D. Die Hard with a Vengeance
    Die Hard with a Vengeance is a 1995 action thriller film in the Die Hard franchise, featuring Bruce Willis and Samuel L. Jackson as unlikely partners trying to stop a terrorist wreaking havoc in New York City.
  • E. Die Hard 2
    Die Hard 2 is a 1990 American action thriller film and the second installment in the Die Hard series, following John McClane as he battles terrorists who seize control of an airport during a snowstorm.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: favoriteMovie
Context triple: [Jake Peralta, favoriteMovie, Die Hard]
  • A. film
    Indicates that an entity is a movie or cinematic work, or that a relationship involves such a movie.
  • B. favoriteFood
    Indicates that one entity has a preferred or most liked food item in relation to another entity or context.
  • C. filmType
    Indicates the specific category or genre that a film belongs to.
  • D. distributedFilm
    Indicates that one entity served as the distributor responsible for releasing or circulating a particular film.
  • E. filmBase
    Indicates the primary location or headquarters from which a film-related entity (such as a production, company, or operation) is based or operates.
  • F. None of above. chosen

Provenance (5 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_69b34553cbe48190afa8ac1cac285b86 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35728ed508190ba0e882fa62d8848 completed March 13, 2026, 12:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6288434188190a23c48267f55ce1e completed March 15, 2026, 3:33 a.m.
PD Predicate disambiguation batch_69b3563d63008190816e37027e761375 completed March 13, 2026, 12:11 a.m.
PDg Predicate description generation batch_69b35727a8ac819090420bd3e2cfbcf1 completed March 13, 2026, 12:15 a.m.
Created at: March 12, 2026, 11:35 p.m.