Triple

T8385224
Position Surface form Disambiguated ID Type / Status
Subject Michael Nozik E197800 entity
Predicate notableWork P4 FINISHED
Object The Clearing E255992 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 Clearing | Statement: [Michael Nozik, notableWork, The Clearing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Clearing
Context triple: [Michael Nozik, notableWork, The Clearing]
  • A. The Clearing chosen
    The Clearing is a psychological thriller film featuring Miranda Otto in a prominent role.
  • B. The Woods
    The Woods is a residential neighborhood within the planned community of Burke Centre in Fairfax County, Virginia.
  • C. The Meadow
    The Meadow is a large open green space within Delaware Park in Buffalo, New York, commonly used for recreation, events, and outdoor gatherings.
  • D. Valley of Ghosts
    The Valley of Ghosts is a scenic rock formation area on the slopes of Mount Demerdzhi in Crimea, famed for its bizarre, human-like stone pillars and often misty, atmospheric landscape.
  • E. The Edge of the Forest
    The Edge of the Forest is a 19th-century landscape painting by French Barbizon school artist Narcisse Virgilio Díaz de la Peña, celebrated for its richly colored, atmospheric depiction of woodland scenery.
  • 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_69ca82f749388190bffbea6dfb509016 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb80e03eb08190a458c9caa0524e0f completed March 31, 2026, 8:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde8312be48190bd5896adc8bb4e95 completed April 2, 2026, 3:53 a.m.
Created at: March 30, 2026, 6:02 p.m.