Triple

T2330269
Position Surface form Disambiguated ID Type / Status
Subject Miranda Otto E48384 entity
Predicate hasSibling P363 FINISHED
Object Gracie Otto
Gracie Otto is an Australian filmmaker and actress known for her work in independent cinema and documentary directing.
E255993 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: Gracie Otto | Statement: [Miranda Otto, hasSibling, Gracie Otto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gracie Otto
Context triple: [Miranda Otto, hasSibling, Gracie Otto]
  • A. Gracie
    Gracie is a given name, often used as a diminutive of Grace.
  • B. Gianna
    Gianna is a feminine given name of Italian origin, often associated with the late Gianna Bryant, daughter of basketball legend Kobe Bryant.
  • C. Azadia Newman
    Azadia Newman was the wife of Armenian-American film and theater director Rouben Mamoulian.
  • D. Molly Greene
    Molly Greene is a relatively obscure individual whose specific public notability is not clearly established from the given information.
  • E. Carley Knox
    Carley Knox is a sports executive best known for her leadership role in the WNBA’s Minnesota Lynx organization.
  • 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: Gracie Otto
Triple: [Miranda Otto, hasSibling, Gracie Otto]
Generated description
Gracie Otto is an Australian filmmaker and actress known for her work in independent cinema and documentary directing.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gracie Otto
Target entity description: Gracie Otto is an Australian filmmaker and actress known for her work in independent cinema and documentary directing.
  • A. Gracie
    Gracie is a given name, often used as a diminutive of Grace.
  • B. Gianna
    Gianna is a feminine given name of Italian origin, often associated with the late Gianna Bryant, daughter of basketball legend Kobe Bryant.
  • C. Azadia Newman
    Azadia Newman was the wife of Armenian-American film and theater director Rouben Mamoulian.
  • D. Molly Greene
    Molly Greene is a relatively obscure individual whose specific public notability is not clearly established from the given information.
  • E. Carley Knox
    Carley Knox is a sports executive best known for her leadership role in the WNBA’s Minnesota Lynx organization.
  • 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.