Triple

T12597559
Position Surface form Disambiguated ID Type / Status
Subject The Lone Ranger E300770 entity
Predicate horseName P105630 FINISHED
Object Silver E992338 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: Silver | Statement: [The Lone Ranger, horseName, Silver]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Silver
Context triple: [The Lone Ranger, horseName, Silver]
  • A. Silver
    Silver is a lustrous, highly conductive precious metal widely used in jewelry, industry, and currency throughout history.
  • B. Silver chosen
    Silver is the iconic white stallion famously ridden by the masked Western hero the Lone Ranger.
  • C. Silver
    Silver is a mid-level frequent flyer status tier that offers travelers enhanced benefits and privileges over the basic membership level.
  • D. Gold
    Gold is a 2016 American crime adventure film in which Matthew McConaughey stars as a prospector chasing a potentially fraudulent gold discovery in the Indonesian jungle.
  • E. Gold
    Gold is a chemical element and precious metal highly valued for its rarity, luster, and use in jewelry, currency, and electronics.
  • 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: horseName
Context triple: [The Lone Ranger, horseName, Silver]
  • A. horseBreed
    Indicates that one entity is a specific breed of the horse represented by the other entity.
  • B. horseColor
    Indicates the relationship that specifies what color a given horse is.
  • C. eligibleHorses
    Indicates that certain horses meet the required conditions or criteria to qualify for a specified status, event, or action.
  • D. featuresHorse
    Indicates that something includes, presents, or prominently involves a horse as a central element or subject.
  • E. usesHorseType
    Indicates that one entity employs, relies on, or operates using a specific type or category of horse.
  • 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_69d7bdea2ca881908f379526c13b1145 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9559458dc8190bc4d6e697e99d70e completed April 10, 2026, 7:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69f668679dfc8190ac05eeb200f23985 completed May 2, 2026, 9:11 p.m.
PD Predicate disambiguation batch_69d9541894fc8190a0c3706a414279f0 completed April 10, 2026, 7:48 p.m.
PDg Predicate description generation batch_69d95590a5e08190842b988531cf2921 completed April 10, 2026, 7:54 p.m.
Created at: April 9, 2026, 5:08 p.m.