Triple

T9427057
Position Surface form Disambiguated ID Type / Status
Subject You Belong with Me E227283 entity
Predicate singleChronologyPrevious P22762 FINISHED
Object White Horse E600458 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: White Horse | Statement: [You Belong with Me, singleChronologyPrevious, White Horse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: White Horse
Context triple: [You Belong with Me, singleChronologyPrevious, White Horse]
  • A. White Horse chosen
    "White Horse" is a country-pop ballad by Taylor Swift that explores themes of heartbreak and disillusionment in romantic fairy-tale expectations.
  • B. White Horses
    White Horses is a small coastal settlement in the parish of St. Thomas in eastern Jamaica.
  • C. 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.
  • D. Black Horse
    Black Horse is a UK-based finance company best known for providing motor and other consumer finance services as part of the Lloyds Banking Group.
  • E. The Horses
    "The Horses" is a celebrated early poem by Ted Hughes that vividly depicts a post-apocalyptic dawn encounter with silent, monumental horses, exploring themes of nature’s power and human renewal.
  • 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_69ca8436ba308190903e470776d2d893 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd7c91ba1c8190b8331fb1ba58cc61 completed April 1, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1223d3cd8819089fec4c895125049 completed April 4, 2026, 2:37 p.m.
Created at: March 30, 2026, 7:49 p.m.