Triple

T18901783
Position Surface form Disambiguated ID Type / Status
Subject Xanth series E462354 entity
Predicate hasBook P29317 FINISHED
Object Board Stiff NE NERFINISHED

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: Board Stiff | Statement: [Xanth series, hasBook, Board Stiff]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Board Stiff
Context triple: [Xanth series, hasBook, Board Stiff]
  • A. Board Stiff chosen
    Board Stiff is a humorous fantasy novel in Piers Anthony’s long-running Xanth series, blending puns, magic, and adventure in a whimsical setting.
  • B. Planken
    Planken is a small mountainous municipality in Liechtenstein known for its rural character and scenic alpine surroundings.
  • C. Stange
    Stange is a rural municipality in Innlandet county, Norway, known for its agricultural landscape and proximity to the town of Hamar.
  • D. Firm and Strong
    "Firm and Strong" is a popular dancehall song by Jamaican artist Popcaan, known for its uplifting, motivational lyrics and melodic style.
  • E. Solid
    Solid is a KDE Frameworks library that provides hardware detection and abstraction, allowing applications to interact with devices in a unified, system-agnostic way.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dcfd05bc819088903cca13cc2846 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c52954bc8190a237627c09615ac1 completed April 20, 2026, 6:18 a.m.
Created at: April 10, 2026, 11:58 a.m.