Triple

T3249774
Position Surface form Disambiguated ID Type / Status
Subject The Storm E68147 entity
Predicate character P662 FINISHED
Object Bibi
Bibi is a character from the animated series "The Storm," known for her distinctive personality and role within the show's central storyline.
 E340868 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: Bibi | Statement: [The Storm, character, Bibi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bibi
Context triple: [The Storm, character, Bibi]
  • A. Beba
    Beba is a city in Egypt’s Beni Suef Governorate, known as a local administrative and commercial center in the region.
  • B. Bebek
    Bebek is an upscale seaside neighborhood on Istanbul’s Bosphorus shore, known for its scenic views, cafes, and vibrant social life.
  • C. Beth
    Beth is a common shortened form of the given name Elizabeth, often used as a standalone feminine first name.
  • D. Anna
    Anna is the given first name of Eleanor Roosevelt, the influential former First Lady of the United States and human rights advocate.
  • E. Anna
    Anna is the given name of Anna Murray Douglass, an African American abolitionist and the first wife of Frederick Douglass.
  • 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: Bibi
Triple: [The Storm, character, Bibi]
Generated description
Bibi is a character from the animated series "The Storm," known for her distinctive personality and role within the show's central storyline.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bibi
Target entity description: Bibi is a character from the animated series "The Storm," known for her distinctive personality and role within the show's central storyline.
  • A. Beba
    Beba is a city in Egypt’s Beni Suef Governorate, known as a local administrative and commercial center in the region.
  • B. Bebek
    Bebek is an upscale seaside neighborhood on Istanbul’s Bosphorus shore, known for its scenic views, cafes, and vibrant social life.
  • C. Beth
    Beth is a common shortened form of the given name Elizabeth, often used as a standalone feminine first name.
  • D. Anna
    Anna is the given name of Anna Murray Douglass, an African American abolitionist and the first wife of Frederick Douglass.
  • E. Anna
    Anna is the given first name of Eleanor Roosevelt, the influential former First Lady of the United States and human rights advocate.
  • 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_69ad858e4c708190aa31d486cfee8a6a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaf3fc3c8819080ac95974581ca0e completed March 8, 2026, 5:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2776934108190ac405ba5ebd47084 completed March 12, 2026, 8:20 a.m.
NEDg Description generation batch_69b27c2c16188190af03674ead3944de completed March 12, 2026, 8:41 a.m.
NED2 Entity disambiguation (via description) batch_69b27ca63b1c8190ac6f67aef6d2c7e1 completed March 12, 2026, 8:43 a.m.
Created at: March 8, 2026, 3:09 p.m.