Triple

T4330221
Position Surface form Disambiguated ID Type / Status
Subject Pie in the Sky E96730 entity
Predicate character P662 FINISHED
Object Henry Crabbe
Henry Crabbe is the fictional, food-loving detective and reluctant policeman who runs a restaurant while solving crimes in the British television series "Pie in the Sky."
E430777 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: Henry Crabbe | Statement: [Pie in the Sky, character, Henry Crabbe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Henry Crabbe
Context triple: [Pie in the Sky, character, Henry Crabbe]
  • A. Henry Lamb
    Henry Lamb was a British painter known for his figurative works and powerful depictions of World War I soldiers and scenes.
  • B. Thomas Archer
    Thomas Archer was a prominent early 18th-century English Baroque architect known for his dynamic church designs and grand country houses.
  • C. Turville Heath
    Turville Heath is a small hamlet in Buckinghamshire, England, known for its rural setting and traditional Chilterns landscape.
  • D. Henry Hedge
    Henry Hedge was a 19th-century American transcendentalist thinker and clergyman associated with the influential Transcendental Club.
  • E. Arthur Chesney
    Arthur Chesney was a British actor known for his character roles in early 20th-century stage and film productions.
  • 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: Henry Crabbe
Triple: [Pie in the Sky, character, Henry Crabbe]
Generated description
Henry Crabbe is the fictional, food-loving detective and reluctant policeman who runs a restaurant while solving crimes in the British television series "Pie in the Sky."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Henry Crabbe
Target entity description: Henry Crabbe is the fictional, food-loving detective and reluctant policeman who runs a restaurant while solving crimes in the British television series "Pie in the Sky."
  • A. Henry Lamb
    Henry Lamb was a British painter known for his figurative works and powerful depictions of World War I soldiers and scenes.
  • B. Thomas Archer
    Thomas Archer was a prominent early 18th-century English Baroque architect known for his dynamic church designs and grand country houses.
  • C. Turville Heath
    Turville Heath is a small hamlet in Buckinghamshire, England, known for its rural setting and traditional Chilterns landscape.
  • D. Henry Hedge
    Henry Hedge was a 19th-century American transcendentalist thinker and clergyman associated with the influential Transcendental Club.
  • E. Arthur Chesney
    Arthur Chesney was a British actor known for his character roles in early 20th-century stage and film productions.
  • 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.