Triple

T14720543
Position Surface form Disambiguated ID Type / Status
Subject Yearning (TV series) E345799 entity
Predicate associatedWork P922 FINISHED
Object Yearning (novel) E1115553 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: Yearning (novel) | Statement: [Yearning (TV series), associatedWork, Yearning (novel)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yearning (novel)
Context triple: [Yearning (TV series), associatedWork, Yearning (novel)]
  • A. Yearning (novel) chosen
    "Yearning" is a Japanese novel best known as the literary source for the television drama of the same name, exploring themes of love, loss, and emotional longing.
  • B. Yearning (TV series)
    Yearning (TV series) is a television drama adaptation of the Japanese novel "Yearning," bringing its emotional narrative and characters to the screen.
  • C. Book of Longing
    Book of Longing is a collection of poetry and drawings by Leonard Cohen that reflects his characteristic blend of spirituality, desire, and introspection.
  • D. Desire in the Dust
    Desire in the Dust is a 1960 American drama film, best known as one of the prominent screen roles of actress Martha Hyer.
  • E. Tangle of Hopes
    Tangle of Hopes is a work by political scientist Ernst B. Haas that explores the complexities and aspirations underlying processes of international integration and cooperation.
  • 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_69d822e5911c8190ba589f957dbd9ba7 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb98823408190b4b58a4c4a3fa3a3 completed April 14, 2026, 10:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb8624bc8190b20441c2f5c4a2fa completed May 8, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:29 a.m.