Triple

T2330257
Position Surface form Disambiguated ID Type / Status
Subject Miranda Otto E48384 entity
Predicate notableWork P4 FINISHED
Object The Clearing
The Clearing is a psychological thriller film featuring Miranda Otto in a prominent role.
 E255992 NE FINISHED

How this triple was built (4 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: [Miranda Otto, notableWork, The Clearing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: The Clearing
Context triple: [Miranda Otto, notableWork, The Clearing]
  • A. The Woods
    The Woods is a residential neighborhood within the planned community of Burke Centre in Fairfax County, Virginia.
  • B. 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.
  • C. The Ravine
    The Ravine is a secluded, woodland gorge in Central Park featuring winding paths, a stream, and rustic bridges that evoke a natural forest landscape.
  • D. Wildwood
    Wildwood is a popular seaside resort city on the Jersey Shore known for its expansive beaches, lively boardwalk, and classic Doo Wop–style motels.
  • E. The Midnight Farm
    The Midnight Farm is a children's picture book by Reeve Lindbergh that evokes the quiet magic and mystery of a farm at night.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: The Clearing
Triple: [Miranda Otto, notableWork, The Clearing]
Generated description
The Clearing is a psychological thriller film featuring Miranda Otto in a prominent role.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: The Clearing
Target entity description: The Clearing is a psychological thriller film featuring Miranda Otto in a prominent role.
  • A. The Woods
    The Woods is a residential neighborhood within the planned community of Burke Centre in Fairfax County, Virginia.
  • B. 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.
  • C. The Ravine
    The Ravine is a secluded, woodland gorge in Central Park featuring winding paths, a stream, and rustic bridges that evoke a natural forest landscape.
  • D. Wildwood
    Wildwood is a popular seaside resort city on the Jersey Shore known for its expansive beaches, lively boardwalk, and classic Doo Wop–style motels.
  • E. The Midnight Farm
    The Midnight Farm is a children's picture book by Reeve Lindbergh that evokes the quiet magic and mystery of a farm at night.
  • F. None of above. chosen

Provenance (5 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_69a88aa308a88190b0b86c011fda7fce completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc667235c819086140af9db961203 completed March 7, 2026, 6:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae8974ab8c81908ec2bddcc882cf42 completed March 9, 2026, 8:48 a.m.
NEDg Description generation batch_69ae8a084b388190a6d79df8d94b236d completed March 9, 2026, 8:51 a.m.
NED2 Entity disambiguation (via description) batch_69ae8a895b6c8190bfd064742e3cc4f8 completed March 9, 2026, 8:53 a.m.
Created at: March 4, 2026, 7:50 p.m.