Triple

T9546864
Position Surface form Disambiguated ID Type / Status
Subject Thomas Beall Davis E230312 entity
Predicate middleName P143 FINISHED
Object Beall
Beall is a middle name shared by American politician Thomas Beall Davis, reflecting a family surname used as a given name.
 E805264 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: Beall | Statement: [Thomas Beall Davis, middleName, Beall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Beall
Context triple: [Thomas Beall Davis, middleName, Beall]
  • A. Bered
    Bered is a lesser-known biblical locality mentioned in the Book of Genesis, situated in the Negev region along the route between Canaan and Egypt.
  • B. Bek
    Bek is a short or informal given name, typically used as a diminutive of Rebekah.
  • C. Breng
    Breng is a Dutch public transport operator providing regional bus and train services in and around Arnhem and Nijmegen in the Netherlands.
  • D. Bez
    Bez is a British dancer and percussionist best known for his energetic onstage presence with the Madchester band Happy Mondays.
  • E. Bealings
    Bealings is a small rural village and civil parish located in the English county of Suffolk.
  • 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: Beall
Triple: [Thomas Beall Davis, middleName, Beall]
Generated description
Beall is a middle name shared by American politician Thomas Beall Davis, reflecting a family surname used as a given name.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Beall
Target entity description: Beall is a middle name shared by American politician Thomas Beall Davis, reflecting a family surname used as a given name.
  • A. Bered
    Bered is a lesser-known biblical locality mentioned in the Book of Genesis, situated in the Negev region along the route between Canaan and Egypt.
  • B. Bek
    Bek is a short or informal given name, typically used as a diminutive of Rebekah.
  • C. Breng
    Breng is a Dutch public transport operator providing regional bus and train services in and around Arnhem and Nijmegen in the Netherlands.
  • D. Bez
    Bez is a British dancer and percussionist best known for his energetic onstage presence with the Madchester band Happy Mondays.
  • E. Bealings
    Bealings is a small rural village and civil parish located in the English county of Suffolk.
  • 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_69ca847c70b8819088a0a0bad64a50d6 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9902fca081909125660ae6336d3f completed April 1, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69d14c747e608190b2fa470324fff454 completed April 4, 2026, 5:37 p.m.
NEDg Description generation batch_69d14cfcfc6c8190a39f4db25ffa160e completed April 4, 2026, 5:40 p.m.
NED2 Entity disambiguation (via description) batch_69d14d5dad98819089c49afd3d097c1f completed April 4, 2026, 5:41 p.m.
Created at: March 30, 2026, 8:02 p.m.