Triple

T2550389
Position Surface form Disambiguated ID Type / Status
Subject Broken Blossoms E56610 entity
Predicate mainCharacter P1183 FINISHED
Object Battling Burrows
Battling Burrows is the brutal, abusive prizefighter father in D. W. Griffith’s silent film "Broken Blossoms."
 E276591 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: Battling Burrows | Statement: [Broken Blossoms, mainCharacter, Battling Burrows]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Battling Burrows
Context triple: [Broken Blossoms, mainCharacter, Battling Burrows]
  • A. Burrow
    Burrow is a surname of English origin borne by various individuals, including Harriet Burrow.
  • B. The Pit
    The Pit is a famed college basketball arena in Albuquerque, New Mexico, renowned for its intense atmosphere and distinctive sunken design.
  • C. Dry Diggings
    Dry Diggings was the early Gold Rush–era mining camp that later became the city of Placerville, California.
  • D. The Ravine
    The Ravine is a secluded, woodland gorge in Central Park featuring winding paths, a stream, and rustic bridges that evoke a natural forest landscape.
  • E. Hornet's Nest
    Hornet's Nest was a fiercely contested defensive position held by Union troops during the American Civil War’s Battle of Shiloh, known for its intense and prolonged fighting.
  • 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: Battling Burrows
Triple: [Broken Blossoms, mainCharacter, Battling Burrows]
Generated description
Battling Burrows is the brutal, abusive prizefighter father in D. W. Griffith’s silent film "Broken Blossoms."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Battling Burrows
Target entity description: Battling Burrows is the brutal, abusive prizefighter father in D. W. Griffith’s silent film "Broken Blossoms."
  • A. Burrow
    Burrow is a surname of English origin borne by various individuals, including Harriet Burrow.
  • B. The Pit
    The Pit is a famed college basketball arena in Albuquerque, New Mexico, renowned for its intense atmosphere and distinctive sunken design.
  • C. Dry Diggings
    Dry Diggings was the early Gold Rush–era mining camp that later became the city of Placerville, California.
  • D. The Ravine
    The Ravine is a secluded, woodland gorge in Central Park featuring winding paths, a stream, and rustic bridges that evoke a natural forest landscape.
  • E. Hornet's Nest
    Hornet's Nest was a fiercely contested defensive position held by Union troops during the American Civil War’s Battle of Shiloh, known for its intense and prolonged fighting.
  • 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_69ab4a4bfec081908039988ec4c86e28 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd2e930508190a6bc9fc4fa431070 completed March 7, 2026, 7:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5d14a58c819094250ee393f95a37 completed March 9, 2026, 11:51 p.m.
NEDg Description generation batch_69af5db1c290819099d88815ebe97c1b completed March 9, 2026, 11:54 p.m.
NED2 Entity disambiguation (via description) batch_69af5e2cd2588190bc24c3cdd350fa70 completed March 9, 2026, 11:56 p.m.
Created at: March 6, 2026, 9:48 p.m.