Triple

T7455518
Position Surface form Disambiguated ID Type / Status
Subject Mollie E172111 entity
Predicate companions P22642 FINISHED
Object the wishing-chair E31519 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: the wishing-chair | Statement: [Mollie, companions, the wishing-chair]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: the wishing-chair
Context triple: [Mollie, companions, the wishing-chair]
  • A. wishing-chair
    The wishing-chair is a magical piece of furniture from children's fantasy stories that can grow wings and transport its riders to fantastical places.
  • B. The Wishing-Chair chosen
    The Wishing-Chair is a classic children's fantasy book by Enid Blyton about a magical flying chair that takes two siblings on a series of whimsical adventures.
  • C. Indian Chair
    Indian Chair is a notable rock formation and historic landmark located within Mashamoquet State Park in Connecticut.
  • D. Womb Chair
    The Womb Chair is a mid-century modern lounge chair designed by Eero Saarinen in 1948, celebrated for its organic, enveloping form and enduring status as a design icon.
  • E. The Big Chair
    The Big Chair is a landmark oversized Duncan Phyfe-style chair in Thomasville, North Carolina, symbolizing the town’s historic furniture industry.
  • 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_69c68a66554c8190add75c65942c0317 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f4ec85488190a1f7fb913e0fbe35 completed March 27, 2026, 9:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c827c39a848190bc275468362ce3bc completed March 28, 2026, 7:10 p.m.
Created at: March 27, 2026, 3:15 p.m.