Triple

T10808189
Position Surface form Disambiguated ID Type / Status
Subject Boo Radley E255022 entity
Predicate nickname P55 FINISHED
Object Boo
Boo is the reclusive, mysterious neighbor in Harper Lee’s novel "To Kill a Mockingbird," whose true kindness is revealed over the course of the story.
 E888050 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: Boo | Statement: [Boo Radley, nickname, Boo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Boo
Context triple: [Boo Radley, nickname, Boo]
  • A. Boo
    Boo is a statically typed, Python-inspired programming language for the .NET platform that was once used as a primary scripting option in the Unity game engine.
  • B. Boo
    Boo is a suburban district and island area in the Stockholm archipelago, located within Nacka Municipality in Sweden.
  • C. Boo
    Boo is the young human girl in Pixar's animated film "Monsters, Inc." whose unexpected arrival in the monster world drives the story's central conflict and emotional core.
  • D. Boo
    Boo is a recurring ghost-like enemy in the Super Mario series, known for covering its face when looked at and attacking when the player’s back is turned.
  • E. BOO
    BOO is the official station code for Bogor Station, a major railway hub in Bogor, West Java, Indonesia.
  • 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: Boo
Triple: [Boo Radley, nickname, Boo]
Generated description
Boo is the reclusive, mysterious neighbor in Harper Lee’s novel "To Kill a Mockingbird," whose true kindness is revealed over the course of the story.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Boo
Target entity description: Boo is the reclusive, mysterious neighbor in Harper Lee’s novel "To Kill a Mockingbird," whose true kindness is revealed over the course of the story.
  • A. Boo
    Boo is a suburban district and island area in the Stockholm archipelago, located within Nacka Municipality in Sweden.
  • B. Boo
    Boo is a statically typed, Python-inspired programming language for the .NET platform that was once used as a primary scripting option in the Unity game engine.
  • C. Boo
    Boo is the young human girl in Pixar's animated film "Monsters, Inc." whose unexpected arrival in the monster world drives the story's central conflict and emotional core.
  • D. Boo
    Boo is a recurring ghost-like enemy in the Super Mario series, known for covering its face when looked at and attacking when the player’s back is turned.
  • E. BOO
    BOO is the official station code for Bogor Station, a major railway hub in Bogor, West Java, Indonesia.
  • 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_69d6aa61c15c8190a1839550c56e75e1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d733b506488190921e6a1f4168dd9e completed April 9, 2026, 5:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69de8513fe0881909d6833c85aac03a8 completed April 14, 2026, 6:19 p.m.
NEDg Description generation batch_69de8e6f3fac8190bcd1675978d6d6d7 completed April 14, 2026, 6:58 p.m.
NED2 Entity disambiguation (via description) batch_69de8fa679cc81909cb51035e5403ce9 completed April 14, 2026, 7:04 p.m.
Created at: April 8, 2026, 9:18 p.m.