Triple

T35815358
Position Surface form Disambiguated ID Type / Status
Subject Ed Boone E1035343 entity
Predicate attemptsToProtect P9207 FINISHED
Object Christopher Boone
Christopher Boone is the mathematically gifted, autistic teenage protagonist and narrator of Mark Haddon’s novel *The Curious Incident of the Dog in the Night-Time*.
 E322271 NE FINISHED

How this triple was built (3 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: Christopher Boone | Statement: [Ed Boone, attemptsToProtect, Christopher Boone]
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: Christopher Boone
Triple: [Ed Boone, attemptsToProtect, Christopher Boone]
Generated description
Christopher Boone is the mathematically gifted, autistic teenage protagonist and narrator of Mark Haddon’s novel *The Curious Incident of the Dog in the Night-Time*.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: attemptsToProtect
Context triple: [Ed Boone, attemptsToProtect, Christopher Boone]
  • A. aimsToProtect chosen
    Indicates an intention or purpose to safeguard or defend one entity, value, or condition from harm, risk, or undesirable outcomes.
  • B. proposedProtection
    Indicates that one entity has suggested or put forward a plan or measure to protect another entity or resource.
  • C. protects
    Indicates taking action to keep someone or something safe from harm, danger, or negative effects.
  • D. hasProtectionEffort
    Indicates that an entity undertakes or is subject to actions or measures aimed at protecting or conserving another entity.
  • E. providesProtectionAgainst
    Indicates that one entity serves to guard, shield, or defend another entity from a specified harm, threat, or adverse effect.
  • F. None of above.

Provenance (6 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_69f76e1762408190b885a8456862e372 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7aa699d68819081ed363931894ab3 completed May 3, 2026, 8:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38ddeb77548190b8f6ba0c6feac4eb completed June 22, 2026, 7:02 a.m.
NEDg Description generation batch_6a39064b483c819092f7d6eeb5a53bf3 completed June 22, 2026, 9:54 a.m.
NED2 Entity disambiguation (via description) batch_6a39070c601c8190911fcc34ff8e7d64 completed June 22, 2026, 9:57 a.m.
PD Predicate disambiguation batch_69f7a8d219f8819081dc4ce3c83ca0cb completed May 3, 2026, 7:58 p.m.
Created at: May 3, 2026, 4:06 p.m.