Triple

T12420339
Position Surface form Disambiguated ID Type / Status
Subject Sybil Thorndike E296751 entity
Predicate givenName P17 FINISHED
Object Sybil
Sybil is a feminine given name of Greek origin, historically associated with prophetesses and later borne by various notable women in arts and literature.
E981506 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: Sybil | Statement: [Sybil Thorndike, givenName, Sybil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sybil
Context triple: [Sybil Thorndike, givenName, Sybil]
  • A. Sybil
    Sybil is a character from the fantasy film "The Magic Sword," known for her role in the story’s magical and adventurous narrative.
  • B. Sybil
    Sybil was an illegitimate daughter of King Henry I of England, known primarily through her royal lineage and connections within the Anglo-Norman nobility.
  • C. Sybil
    Sybil is an American R&B and pop singer best known for her late-1980s and early-1990s hits, including popular covers of classic soul songs.
  • D. Sybil
    Sybil is a 1976 television film about a woman with dissociative identity disorder, best known for Sally Field’s acclaimed, Emmy-winning performance in the title role.
  • E. Sybylla
    Sybylla is the spirited, independent-minded young heroine and narrator of Miles Franklin’s classic Australian novel "My Brilliant Career."
  • 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: Sybil
Triple: [Sybil Thorndike, givenName, Sybil]
Generated description
Sybil is a feminine given name of Greek origin, historically associated with prophetesses and later borne by various notable women in arts and literature.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sybil
Target entity description: Sybil is a feminine given name of Greek origin, historically associated with prophetesses and later borne by various notable women in arts and literature.
  • A. Sybil
    Sybil is a character from the fantasy film "The Magic Sword," known for her role in the story’s magical and adventurous narrative.
  • B. Sybil
    Sybil was an illegitimate daughter of King Henry I of England, known primarily through her royal lineage and connections within the Anglo-Norman nobility.
  • C. Sybil
    Sybil is an American R&B and pop singer best known for her late-1980s and early-1990s hits, including popular covers of classic soul songs.
  • D. Sybil
    Sybil is a 1976 television film about a woman with dissociative identity disorder, best known for Sally Field’s acclaimed, Emmy-winning performance in the title role.
  • E. Sybylla
    Sybylla is the spirited, independent-minded young heroine and narrator of Miles Franklin’s classic Australian novel "My Brilliant Career."
  • 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_69d6ada0640c81908c061d7fb3d47786 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d6efd748190a5d9396a343e41e1 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f634933b9881909fd592ede7c3e49c completed May 2, 2026, 5:29 p.m.
NEDg Description generation batch_69f6356c21908190b34d1324da8f8052 completed May 2, 2026, 5:33 p.m.
NED2 Entity disambiguation (via description) batch_69f63697d5b8819094728df472eb1914 completed May 2, 2026, 5:38 p.m.
Created at: April 8, 2026, 9:55 p.m.