Triple

T10890503
Position Surface form Disambiguated ID Type / Status
Subject Emma Donoghue E257159 entity
Predicate wrote P2831 FINISHED
Object Slammerkin E893269 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: Slammerkin | Statement: [Emma Donoghue, wrote, Slammerkin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Slammerkin
Context triple: [Emma Donoghue, wrote, Slammerkin]
  • A. Slammerkin chosen
    "Slammerkin" is a historical novel by Emma Donoghue that follows a poor young woman's struggle for survival and autonomy in 18th-century Britain, exploring themes of class, gender, and desire.
  • B. Sli'merre
    Sli'merre is a critically acclaimed collaborative mixtape by Atlanta rapper Young Nudy and producer Pi’erre Bourne, known for its atmospheric production and distinctive trap sound.
  • C. Smargadus
    Smargadus was the exarch of Ravenna who commissioned the Column of Phocas in the Roman Forum in the early 7th century.
  • D. Scallabis
    Scallabis was the ancient Roman name for the city now known as Santarém in central Portugal, an important settlement in the Roman province of Lusitania.
  • E. Salamas
    Salamas is a town in northwestern Iran’s West Azerbaijan Province, known for its ethnolinguistic diversity and local dialects.
  • 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_69d6aa848804819081b2713ca0bedf06 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d752041e2c8190b513dc9dc5857fcc completed April 9, 2026, 7:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69e23b9e5ddc81908cbd27e8db49dbaf completed April 17, 2026, 1:54 p.m.
Created at: April 8, 2026, 9:21 p.m.