Triple

T5554230
Position Surface form Disambiguated ID Type / Status
Subject Kerry Bishé E145597 entity
Predicate appearsIn P795 FINISHED
Object Grand Piano E253228 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: Grand Piano | Statement: [Kerry Bishé, appearsIn, Grand Piano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grand Piano
Context triple: [Kerry Bishé, appearsIn, Grand Piano]
  • A. Grand Piano chosen
    Grand Piano is a 2013 thriller film about a concert pianist forced to play flawlessly under threat, starring Elijah Wood and John Cusack.
  • B. Claviere
    Claviere is a small alpine village and ski resort in northwestern Italy, known for its mountain scenery and winter sports facilities.
  • C. Fortepiano
    The fortepiano is an early version of the piano, used from the 18th to early 19th centuries, known for its lighter touch and more delicate, transparent sound compared to the modern instrument.
  • D. Vulcano Piano
    Vulcano Piano is a small settlement on the island of Vulcano in Italy’s Aeolian archipelago, known for its proximity to volcanic landscapes and geothermal features.
  • E. The Musician
    The Musician is a fictional storyteller and performer who appears as one of the diverse narrators gathered at the inn in Henry Wadsworth Longfellow’s "Tales of a Wayside Inn."
  • 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_69c008fcaf788190bafa02a1917ee73b completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01ff9c9c48190b5e587d58c6515d8 completed March 22, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d01a9948190a033947c7c031e04 completed March 22, 2026, 8:11 p.m.
Created at: March 22, 2026, 3:36 p.m.