Triple

T14227420
Position Surface form Disambiguated ID Type / Status
Subject Darkhorse E352658 entity
Predicate alsoKnownAs P39 FINISHED
Object 3/5 Darkhorse E352658 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: 3/5 Darkhorse | Statement: [Darkhorse, alsoKnownAs, 3/5 Darkhorse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 3/5 Darkhorse
Context triple: [Darkhorse, alsoKnownAs, 3/5 Darkhorse]
  • A. The Dark Horse
    The Dark Horse is a critically acclaimed 2014 New Zealand drama film about a troubled former chess prodigy who finds purpose mentoring underprivileged youth.
  • B. Behold a Dark Horse
    Behold a Dark Horse is a gritty, sample-heavy hip-hop album by Roc Marciano known for its dense lyricism and minimalist, noir-style production.
  • C. Darkhorse chosen
    Darkhorse is the storied nickname of the U.S. Marine Corps’ 3rd Battalion, 5th Marines, renowned for its combat service and battlefield sacrifices.
  • D. A Faster Horse
    A Faster Horse is a documentary film that explores the history, design, and cultural impact of the Ford Mustang.
  • E. Fresh Horses
    Fresh Horses is a 1988 romantic drama film starring Molly Ringwald and Andrew McCarthy about a wealthy college student drawn into a complicated relationship with a mysterious young woman from a poorer background.
  • 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_69d8278adc7c8190a9218d69bce3c4e6 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de622a48508190bbfedb762bd1674d completed April 14, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd281801488190bcb17d27ee18cde6 completed May 8, 2026, 12:02 a.m.
Created at: April 10, 2026, 1:07 a.m.