Triple

T19584014
Position Surface form Disambiguated ID Type / Status
Subject Bringing Down the Horse E490064 entity
Predicate followedBy P78 FINISHED
Object (Breach) NE NERFINISHED

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: (Breach) | Statement: [Bringing Down the Horse, followedBy, (Breach)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: (Breach)
Context triple: [Bringing Down the Horse, followedBy, (Breach)]
  • A. Breach chosen
    Breach is a 2007 American spy thriller film based on the true story of FBI agent and convicted spy Robert Hanssen, in which Chris Cooper delivers a critically acclaimed performance as the duplicitous lead.
  • B. The Breach
    The Breach is the interdimensional rift on the Pacific Ocean floor in the "Pacific Rim" universe through which the alien Kaiju enter Earth.
  • C. Breach Candy
    Breach Candy is an upscale coastal neighborhood in South Mumbai known for its luxury residences, prominent hospital, and seaside promenade.
  • D. Zero Day
    "Zero Day" is a military crime thriller novel by David Baldacci that introduces U.S. Army investigator John Puller as he probes a brutal murder in a small West Virginia town.
  • E. Infiltration
    Infiltration is a celebrated Israeli novel by Yehoshua Kenaz that portrays the experiences and inner lives of young recruits in an Israel Defense Forces basic training camp in the 1950s.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8dd9374819098e36349b3211663 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e64050127c8190b93b8716a1a4ad81 completed April 20, 2026, 3:03 p.m.
Created at: April 10, 2026, 1:42 p.m.