Triple

T18731607
Position Surface form Disambiguated ID Type / Status
Subject Tiny Furniture E458046 entity
Predicate hasProtagonist P8706 FINISHED
Object Aura
Aura is the central character in the indie film "Tiny Furniture," around whom the story’s exploration of post-college aimlessness and identity revolves.
 E1340087 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: Aura | Statement: [Tiny Furniture, hasProtagonist, Aura]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Aura
Context triple: [Tiny Furniture, hasProtagonist, Aura]
  • A. Aura
    Aura is a popular reggaeton and Latin trap album by Puerto Rican singer Ozuna, known for its melodic style and chart-topping hits.
  • B. Aura
    Aura is a small municipality in southwestern Finland known for its rural landscapes and proximity to the city of Turku.
  • C. Aura
    Aura is a contemporary classical composition by Italian avant-garde composer and conductor Bruno Maderna.
  • D. Aura
    Aura is a celestial body or orbital point that serves as the primary reference path for the object known as Nibiru.
  • E. Aura
    Aura is a NASA Earth observation satellite focused on studying the atmosphere’s composition, air quality, and climate-related processes.
  • 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: Aura
Triple: [Tiny Furniture, hasProtagonist, Aura]
Generated description
Aura is the central character in the indie film "Tiny Furniture," around whom the story’s exploration of post-college aimlessness and identity revolves.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Aura
Target entity description: Aura is the central character in the indie film "Tiny Furniture," around whom the story’s exploration of post-college aimlessness and identity revolves.
  • A. Aura
    Aura is a popular reggaeton and Latin trap album by Puerto Rican singer Ozuna, known for its melodic style and chart-topping hits.
  • B. Aura
    Aura is a small municipality in southwestern Finland known for its rural landscapes and proximity to the city of Turku.
  • C. Aura
    Aura is a contemporary classical composition by Italian avant-garde composer and conductor Bruno Maderna.
  • D. Aura
    Aura is a celestial body or orbital point that serves as the primary reference path for the object known as Nibiru.
  • E. Aura
    Aura is a NASA Earth observation satellite focused on studying the atmosphere’s composition, air quality, and climate-related processes.
  • 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_69d8d393ba9c8190a8b03b04ddbb0a09 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e56d7854748190b66c4aaadfd67f29 completed April 20, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05325b685c8190a2889755ed931973 completed May 14, 2026, 2:24 a.m.
NEDg Description generation batch_6a053410a8188190992d9fa6130ab372 completed May 14, 2026, 2:31 a.m.
NED2 Entity disambiguation (via description) batch_6a05349009e481909fb757415468aa70 completed May 14, 2026, 2:33 a.m.
Created at: April 10, 2026, 11:51 a.m.