Triple

T17183893
Position Surface form Disambiguated ID Type / Status
Subject A Minute E417051 entity
Predicate hasSetting P3538 FINISHED
Object Action Park NE ONNED1

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: Action Park | Statement: [A Minute, hasSetting, Action Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Action Park
Context triple: [A Minute, hasSetting, Action Park]
  • A. Action Park chosen
    Action Park was a notoriously dangerous New Jersey amusement and water park famous for its poorly designed rides, minimal safety standards, and numerous guest injuries.
  • B. Rahmbo
    Rahmbo is the popular nickname of Spanish professional golfer Jon Rahm, highlighting his powerful, aggressive style of play on the course.
  • C. Action Pack
    Action Pack is a core Ruby on Rails framework component that handles web request routing and controller/view processing for building MVC-based web applications.
  • D. Road House
    Road House is a 1989 American action film starring Patrick Swayze as a bouncer hired to clean up a violent roadside bar.
  • E. Road House
    Road House is a 1948 American film noir drama directed by Jean Negulesco, known for its atmospheric small-town setting and tense love-triangle plot centered around a roadhouse nightclub.
  • 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_69d886d5f34c8190b24564dfaa63f3fb completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42d9416a48190a5930fcd6008dbaa completed April 19, 2026, 1:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0195443f54819098130cf593eb56cb in_progress May 11, 2026, 8:37 a.m.
Created at: April 10, 2026, 5:37 a.m.