Triple

T16780079
Position Surface form Disambiguated ID Type / Status
Subject Victory E407833 entity
Predicate mainCharacter P1183 FINISHED
Object Mr. Jones
Mr. Jones is the central protagonist of the novel "Victory," around whom the story’s main conflicts and themes revolve.
 E1233811 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: Mr. Jones | Statement: [Victory, mainCharacter, Mr. Jones]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mr. Jones
Context triple: [Victory, mainCharacter, Mr. Jones]
  • A. Mr. Jones
    "Mr. Jones" is a hit alternative rock song by Counting Crows, known for its introspective lyrics about fame, dreams, and identity.
  • B. Mr. Jones
    Mr. Jones is a 2019 historical drama film directed by Agnieszka Holland about Welsh journalist Gareth Jones’s investigation into the Holodomor famine in Soviet Ukraine.
  • C. Mr. Brown
    Mr. Brown is the kind-hearted but often flustered father figure from the "Paddington" film series.
  • D. Mr. Brown
    Mr. Brown is one of the color-coded hijackers in the crime thriller "The Taking of Pelham One Two Three," known for his role in the subway train hostage plot.
  • E. Mr. Brown
    Mr. Brown is a comically eccentric, churchgoing older man known for his loud outfits, over-the-top reactions, and frequent appearances in Tyler Perry’s Madea franchise.
  • 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: Mr. Jones
Triple: [Victory, mainCharacter, Mr. Jones]
Generated description
Mr. Jones is the central protagonist of the novel "Victory," around whom the story’s main conflicts and themes revolve.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mr. Jones
Target entity description: Mr. Jones is the central protagonist of the novel "Victory," around whom the story’s main conflicts and themes revolve.
  • A. Mr. Jones
    "Mr. Jones" is a hit alternative rock song by Counting Crows, known for its introspective lyrics about fame, dreams, and identity.
  • B. Mr. Jones
    Mr. Jones is a 2019 historical drama film directed by Agnieszka Holland about Welsh journalist Gareth Jones’s investigation into the Holodomor famine in Soviet Ukraine.
  • C. Mr. Brown
    Mr. Brown is the kind-hearted but often flustered father figure from the "Paddington" film series.
  • D. Mr. Brown
    Mr. Brown is one of the color-coded hijackers in the crime thriller "The Taking of Pelham One Two Three," known for his role in the subway train hostage plot.
  • E. Mr. Brown
    Mr. Brown is a comically eccentric, churchgoing older man known for his loud outfits, over-the-top reactions, and frequent appearances in Tyler Perry’s Madea franchise.
  • 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_69d8839270588190886720d9519bbf8f completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b214cebc81909de80e74b4bac5f8 completed April 18, 2026, 4:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00ab00cf708190a2562fa14d72a4df completed May 10, 2026, 3:57 p.m.
NEDg Description generation batch_6a00ad66a9a88190983eee72f9d23e37 completed May 10, 2026, 4:08 p.m.
NED2 Entity disambiguation (via description) batch_6a00addf7674819084f5755c2dacc741 completed May 10, 2026, 4:10 p.m.
Created at: April 10, 2026, 5:22 a.m.