Triple

T1448942
Position Surface form Disambiguated ID Type / Status
Subject James Bevel E31242 entity
Predicate familyName P18 FINISHED
Object Bevel
Bevel is a surname most notably associated with James Bevel, a prominent American civil rights leader and strategist of the 1960s.
 E165218 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: Bevel | Statement: [James Bevel, familyName, Bevel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bevel
Context triple: [James Bevel, familyName, Bevel]
  • A. Úhlava
    Úhlava is a river in the Czech Republic that flows through the city of Plzeň and is one of the region’s notable waterways.
  • B. Tektitek
    Tektitek is a Mayan language spoken primarily by the Tektiteko people in parts of Guatemala and Mexico.
  • C. Bortus
    Bortus is a stoic, duty-bound Moclan officer serving as second-in-command aboard the exploratory spaceship in the sci-fi comedy series "The Orville."
  • D. The Angle
    The Angle is a prominent battlefield site at Gettysburg, marking the focal point of Pickett’s Charge and often referred to as the “High Water Mark of the Confederacy.”
  • E. Martz
    Martz is a surname most notably associated with Mike Martz, an American football coach known for his innovative offensive strategies in the NFL.
  • 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: Bevel
Triple: [James Bevel, familyName, Bevel]
Generated description
Bevel is a surname most notably associated with James Bevel, a prominent American civil rights leader and strategist of the 1960s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bevel
Target entity description: Bevel is a surname most notably associated with James Bevel, a prominent American civil rights leader and strategist of the 1960s.
  • A. Úhlava
    Úhlava is a river in the Czech Republic that flows through the city of Plzeň and is one of the region’s notable waterways.
  • B. Tektitek
    Tektitek is a Mayan language spoken primarily by the Tektiteko people in parts of Guatemala and Mexico.
  • C. Bortus
    Bortus is a stoic, duty-bound Moclan officer serving as second-in-command aboard the exploratory spaceship in the sci-fi comedy series "The Orville."
  • D. The Angle
    The Angle is a prominent battlefield site at Gettysburg, marking the focal point of Pickett’s Charge and often referred to as the “High Water Mark of the Confederacy.”
  • E. Martz
    Martz is a surname most notably associated with Mike Martz, an American football coach known for his innovative offensive strategies in the NFL.
  • 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_69a499171a28819085b993a3ac78e363 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c55c408c8190917ed44d9070a2fb completed March 1, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad08c229808190af9936b481390170 completed March 8, 2026, 5:27 a.m.
NEDg Description generation batch_69ad098f9fd0819094d9478881ca1a46 completed March 8, 2026, 5:30 a.m.
NED2 Entity disambiguation (via description) batch_69ad0a6c7aa08190b21b00c03f04af27 completed March 8, 2026, 5:34 a.m.
Created at: March 1, 2026, 8 p.m.