Triple

T22391032
Position Surface form Disambiguated ID Type / Status
Subject Higher E553510 entity
Predicate hasPart P35 FINISHED
Object White Horse 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: White Horse | Statement: [Higher, hasPart, White Horse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: White Horse
Context triple: [Higher, hasPart, White Horse]
  • A. White Horse chosen
    White Horse is a historic blended Scotch whisky brand known for its smooth character and long-standing presence in the global spirits market.
  • B. White Horse
    "White Horse" is a country-pop ballad by Taylor Swift that explores themes of heartbreak and disillusionment in romantic fairy-tale expectations.
  • C. White Horses
    White Horses is a small coastal settlement in the parish of St. Thomas in eastern Jamaica.
  • D. White Rider
    White Rider is the later, more powerful incarnation of Gandalf in J.R.R. Tolkien’s Middle-earth legendarium, symbolizing his return and elevated status after his battle with the Balrog.
  • E. White Knight
    White Knight is a high-altitude, twin-boom jet-powered carrier aircraft developed by Scaled Composites to air-launch experimental spacecraft such as SpaceShipOne.
  • 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_69e11e4cf87c8190a1ff474daec326b7 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1585b56208190b53b90a81a807a9d completed April 29, 2026, 1:01 a.m.
Created at: April 16, 2026, 8:45 p.m.