Triple

T11984554
Position Surface form Disambiguated ID Type / Status
Subject Charlie Bucket E285244 entity
Predicate familyName P18 FINISHED
Object Bucket
Bucket is a common English surname that appears in literature, most notably in Roald Dahl’s "Charlie and the Chocolate Factory."
 E958269 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: Bucket | Statement: [Charlie Bucket, familyName, Bucket]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bucket
Context triple: [Charlie Bucket, familyName, Bucket]
  • A. The Bucket
    "The Bucket" is a song by American rock band Kings of Leon, known for its catchy guitar riffs and reflective lyrics about the pressures of early fame.
  • B. Bottle
    Bottle is a lightweight Python web framework used for building simple web applications and APIs in a single file.
  • C. Boite
    The Boite is a mountain river in the Dolomites of northern Italy that flows through the town of Cortina d'Ampezzo before joining the Piave.
  • D. Jug
    "Jug" is the widely used nickname for the Republic P-47 Thunderbolt, a rugged and heavily armed American World War II fighter-bomber aircraft.
  • E. BAG
    BAG is the National Rail station code for Bagshot railway station in Surrey, England.
  • 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: Bucket
Triple: [Charlie Bucket, familyName, Bucket]
Generated description
Bucket is a common English surname that appears in literature, most notably in Roald Dahl’s "Charlie and the Chocolate Factory."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bucket
Target entity description: Bucket is a common English surname that appears in literature, most notably in Roald Dahl’s "Charlie and the Chocolate Factory."
  • A. The Bucket
    "The Bucket" is a song by American rock band Kings of Leon, known for its catchy guitar riffs and reflective lyrics about the pressures of early fame.
  • B. Bottle
    Bottle is a lightweight Python web framework used for building simple web applications and APIs in a single file.
  • C. Boite
    The Boite is a mountain river in the Dolomites of northern Italy that flows through the town of Cortina d'Ampezzo before joining the Piave.
  • D. Jug
    "Jug" is the widely used nickname for the Republic P-47 Thunderbolt, a rugged and heavily armed American World War II fighter-bomber aircraft.
  • E. BAG
    BAG is the National Rail station code for Bagshot railway station in Surrey, England.
  • 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903973c848190aac871d6dfecc74b completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f472286edc8190ac72d7dd2b646c91 completed May 1, 2026, 9:28 a.m.
NEDg Description generation batch_69f47b7c5af08190ab0bff1232530a0c completed May 1, 2026, 10:07 a.m.
NED2 Entity disambiguation (via description) batch_69f47dd51e648190bddd41766221e22d completed May 1, 2026, 10:17 a.m.
Created at: April 8, 2026, 9:46 p.m.