Triple

T8412363
Position Surface form Disambiguated ID Type / Status
Subject Charlie Bewley E198654 entity
Predicate givenName P17 FINISHED
Object Charlie
Charlie is the given name of English actor and producer Charlie Bewley, known for his role as Demetri in the Twilight film series.
E734806 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 Bewley, givenName, Charlie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charlie
Context triple: [Charlie Bewley, givenName, Charlie]
  • A. Charlie
    Charlie is the fictional Boston subway rider in the folk song "Charlie on the MTA," known for being unable to get off the train because he lacks the fare to exit.
  • B. 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.
  • C. Charlie
    Charlie is the given name of the British philosopher and Cambridge academic C. D. Broad.
  • D. 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.
  • E. Charlie
    Charlie is a central character in the romantic comedy film "French Kiss," serving as the unfaithful fiancé whose actions set the story’s events in motion.
  • 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 Bewley, givenName, Charlie]
Generated description
Charlie is the given name of English actor and producer Charlie Bewley, known for his role as Demetri in the Twilight film series.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Charlie
Target entity description: Charlie is the given name of English actor and producer Charlie Bewley, known for his role as Demetri in the Twilight film series.
  • A. Charlie
    Charlie is a common English given name, often used as a diminutive of Charles or Charlotte.
  • B. Charlie
    Charlie is the given name of the British philosopher and Cambridge academic C. D. Broad.
  • C. Charlie
    Charlie is a central character in the romantic comedy film "French Kiss," serving as the unfaithful fiancé whose actions set the story’s events in motion.
  • D. 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.
  • E. Charlie
    Charlie is a character featured in the work titled "Seascape."
  • 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_69ca831201b481909e137936ef99ff11 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb83e0341c819080506e696131671e completed March 31, 2026, 8:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce1d3d9f848190bd425b80aa58a376 completed April 2, 2026, 7:39 a.m.
NEDg Description generation batch_69ce2133972881909c7a4b44d6799d9e completed April 2, 2026, 7:56 a.m.
NED2 Entity disambiguation (via description) batch_69ce21e74d9481908f04b2ab5b57f8a5 completed April 2, 2026, 7:59 a.m.
Created at: March 30, 2026, 6:05 p.m.