Triple

T2480912
Position Surface form Disambiguated ID Type / Status
Subject Ron Howard E55811 entity
Predicate notableWork P4 FINISHED
Object Willow E14248 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: Willow | Statement: [Ron Howard, notableWork, Willow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Willow
Context triple: [Ron Howard, notableWork, Willow]
  • A. Willow chosen
    Willow is a 1988 fantasy adventure film directed by Ron Howard that follows an aspiring sorcerer who must protect a prophesied child from an evil queen.
  • B. Willow
    "Willow" is a folk-pop song by American singer-songwriter Taylor Swift, released as the lead single from her 2020 album "Evermore."
  • C. Labyrinth
    The Labyrinth is a legendary, intricately designed maze in Greek mythology built to confine the Minotaur beneath King Minos’s palace in Crete.
  • D. Labyrinth
    Labyrinth is a 1986 fantasy film directed by Jim Henson, starring David Bowie and Jennifer Connelly, known for its imaginative puppetry, musical numbers, and cult following.
  • E. Sleeping Beauty
    Sleeping Beauty is a classic 1959 animated fantasy film from Disney, renowned for its stylized art, iconic villain Maleficent, and the story of Princess Aurora cursed into a magical sleep.
  • 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_69ab49e670a88190b928e08302381710 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd161bf3c8190834502968180e9cf completed March 7, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69af17b146d881909672e9cd4a501a11 completed March 9, 2026, 6:55 p.m.
Created at: March 6, 2026, 9:45 p.m.