Triple

T11984553
Position Surface form Disambiguated ID Type / Status
Subject Charlie Bucket E285244 entity
Predicate givenName P17 FINISHED
Object Charlie
Charlie is the kind-hearted young protagonist of Roald Dahl's novel "Charlie and the Chocolate Factory."
E960145 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: Charlie | Statement: [Charlie Bucket, givenName, Charlie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charlie
Context triple: [Charlie Bucket, givenName, Charlie]
  • A. Charlie
    Charlie was the third nuclear test in the U.S. Operation Crossroads series, planned as an underwater detonation to study the effects of nuclear weapons on naval vessels.
  • B. Charlie
    Charlie is the yellow-suited captain and one of the three main playable leaders in Pikmin 3, known for commanding Pikmin on the planet PNF-404.
  • C. Charlie
    Charlie is the central protagonist of the apocalyptic horror film "Legion" (2010), a pregnant waitress whose unborn child is believed to be humanity’s last hope.
  • D. Charlie
    Charlie is the given name of English actor and producer Charlie Bewley, known for his role as Demetri in the Twilight film series.
  • E. Charlie
    Charlie is a classic Revlon perfume line known for its accessible, youthful, and independent image, especially popular from the 1970s onward.
  • 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: Charlie
Triple: [Charlie Bucket, givenName, Charlie]
Generated description
Charlie is the kind-hearted young protagonist of Roald Dahl's novel "Charlie and the Chocolate Factory."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Charlie
Target entity description: Charlie is the kind-hearted young protagonist of Roald Dahl's novel "Charlie and the Chocolate Factory."
  • A. Charlie
    Charlie is a character featured in the work titled "Seascape."
  • B. Charlie
    Charlie is the young girl with powerful pyrokinetic abilities at the center of Stephen King’s novel "Firestarter."
  • C. Charlie
    Charlie is Dory’s loving but forgetful father in the animated film "Finding Dory," known for his patience, optimism, and inventive ways of helping her cope with memory loss.
  • D. Charlie
    Charlie is a common English given name, often used as a diminutive of Charles or Charlotte.
  • E. Charlie
    Charlie is a fictional character from Stephen Adly Guirgis’s gritty stage play "In Arabia We’d All Be Kings," which portrays the lives of struggling New Yorkers in a rapidly gentrifying Hell’s Kitchen.
  • 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_69f48aa73458819097a69b371350743c completed May 1, 2026, 11:12 a.m.
NEDg Description generation batch_69f48fc3baac8190af87b55164f00b26 completed May 1, 2026, 11:34 a.m.
NED2 Entity disambiguation (via description) batch_69f495ab52788190a886f7014267f8e2 completed May 1, 2026, 11:59 a.m.
Created at: April 8, 2026, 9:46 p.m.