Triple

T4330218
Position Surface form Disambiguated ID Type / Status
Subject Pie in the Sky E96730 entity
Predicate starring P1507 FINISHED
Object Bella Enahoro
Bella Enahoro is a British actress best known for her role in the television drama series "Pie in the Sky."
 E430775 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: Bella Enahoro | Statement: [Pie in the Sky, starring, Bella Enahoro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bella Enahoro
Context triple: [Pie in the Sky, starring, Bella Enahoro]
  • A. Bella Greene
    Bella Greene is a relatively obscure individual whose specific public achievements or background are not widely documented.
  • B. Jean Hermione Johnstone
    Jean Hermione Johnstone was the mother of renowned composer Andrew Lloyd Webber and was herself a musician and violinist.
  • C. Sarah Porter
    Sarah Porter was a 19th-century American educator best known for founding Miss Porter’s School, an elite college-preparatory school for girls in Farmington, Connecticut.
  • D. Iris Taylor
    Iris Taylor is known as the spouse of influential computer scientist and Internet pioneer Robert W. Taylor.
  • E. Madeleine Potter
    Madeleine Potter is an American actress known for her work in film, television, and theatre, including prominent roles in literary adaptations.
  • 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: Bella Enahoro
Triple: [Pie in the Sky, starring, Bella Enahoro]
Generated description
Bella Enahoro is a British actress best known for her role in the television drama series "Pie in the Sky."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bella Enahoro
Target entity description: Bella Enahoro is a British actress best known for her role in the television drama series "Pie in the Sky."
  • A. Bella Greene
    Bella Greene is a relatively obscure individual whose specific public achievements or background are not widely documented.
  • B. Jean Hermione Johnstone
    Jean Hermione Johnstone was the mother of renowned composer Andrew Lloyd Webber and was herself a musician and violinist.
  • C. Sarah Porter
    Sarah Porter was a 19th-century American educator best known for founding Miss Porter’s School, an elite college-preparatory school for girls in Farmington, Connecticut.
  • D. Iris Taylor
    Iris Taylor is known as the spouse of influential computer scientist and Internet pioneer Robert W. Taylor.
  • E. Madeleine Potter
    Madeleine Potter is an American actress known for her work in film, television, and theatre, including prominent roles in literary adaptations.
  • 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_69b34542fd908190b11b08faad8decfd completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3514c39748190900e13e70ed8848c completed March 12, 2026, 11:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5d09fad588190b488012b4fc6cb8c completed March 14, 2026, 9:18 p.m.
NEDg Description generation batch_69b5d1614b008190bc98fac7b1029456 completed March 14, 2026, 9:21 p.m.
NED2 Entity disambiguation (via description) batch_69b5d1c2f77c8190942be9d23c2c9f6b completed March 14, 2026, 9:23 p.m.
Created at: March 12, 2026, 11:13 p.m.