Triple

T2723068
Position Surface form Disambiguated ID Type / Status
Subject Thomas Hardy E60124 entity
Predicate notableWork P4 FINISHED
Object Tess of the d'Urbervilles E265925 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: Tess of the d'Urbervilles | Statement: [Thomas Hardy, notableWork, Tess of the d'Urbervilles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tess of the d'Urbervilles
Context triple: [Thomas Hardy, notableWork, Tess of the d'Urbervilles]
  • A. Tess
    Tess is a central character in the musical film "Burlesque," serving as the tough but caring owner and manager of the struggling burlesque club.
  • B. Tess chosen
    Tess is a 1979 period drama film directed by Roman Polanski, adapted from Thomas Hardy’s novel "Tess of the d'Urbervilles."
  • C. Silas Marner
    Silas Marner is a novel by George Eliot that tells the story of a reclusive weaver whose life is transformed by the arrival of an orphaned child.
  • D. Growth of the Soil
    Growth of the Soil is a 1917 novel by Norwegian author Knut Hamsun that portrays the life of a simple farmer and celebrates a back-to-the-land, agrarian ideal.
  • E. The Reivers
    The Reivers is a 1962 novel by William Faulkner, a humorous coming-of-age tale set in the American South that was his last published work and won the Pulitzer Prize for Fiction.
  • 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_69ab4b746d248190958e052045c09255 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdaca581881908fe8d3d820f839b7 completed March 7, 2026, 7:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69afb6939a50819087ac2c55337ceae3 completed March 10, 2026, 6:13 a.m.
Created at: March 6, 2026, 9:55 p.m.