Triple

T14197753
Position Surface form Disambiguated ID Type / Status
Subject Tom Brookshier E351883 entity
Predicate familyName P18 FINISHED
Object Brookshier
Brookshier is a surname most notably associated with Tom Brookshier, an American football player, coach, and sportscaster.
 E1085007 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: Brookshier | Statement: [Tom Brookshier, familyName, Brookshier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Brookshier
Context triple: [Tom Brookshier, familyName, Brookshier]
  • A. Hosbrook
    Hosbrook is a family surname, likely of English origin, shared by individuals such as Brenda Hosbrook.
  • B. Brannan
    Brannan is a surname of English and Irish origin borne by various notable individuals, including American politician Charles F. Brannan.
  • C. Forsbrook
    Forsbrook is a village and civil parish in Staffordshire, England, situated near the edge of the Staffordshire Moorlands.
  • D. Easterbrook
    Easterbrook is a surname most notably associated with American actress Leslie Easterbrook, known for her roles in the "Police Academy" film series and various television shows.
  • E. Colebrook
    Colebrook is a small rural town located in Hartford County in the northwestern part of Connecticut, known for its forests, reservoirs, and outdoor recreation.
  • 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: Brookshier
Triple: [Tom Brookshier, familyName, Brookshier]
Generated description
Brookshier is a surname most notably associated with Tom Brookshier, an American football player, coach, and sportscaster.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Brookshier
Target entity description: Brookshier is a surname most notably associated with Tom Brookshier, an American football player, coach, and sportscaster.
  • A. Hosbrook
    Hosbrook is a family surname, likely of English origin, shared by individuals such as Brenda Hosbrook.
  • B. Brannan
    Brannan is a surname of English and Irish origin borne by various notable individuals, including American politician Charles F. Brannan.
  • C. Forsbrook
    Forsbrook is a village and civil parish in Staffordshire, England, situated near the edge of the Staffordshire Moorlands.
  • D. Easterbrook
    Easterbrook is a surname most notably associated with American actress Leslie Easterbrook, known for her roles in the "Police Academy" film series and various television shows.
  • E. Colebrook
    Colebrook is a small rural town located in Hartford County in the northwestern part of Connecticut, known for its forests, reservoirs, and outdoor recreation.
  • 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_69d827894ac0819097803e57f3227b23 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61e30f208190b61c1c7bd3501156 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd194d14008190a74021ff5a3e51d1 completed May 7, 2026, 10:59 p.m.
NEDg Description generation batch_69fd1ab3f83881908113259c23fe1028 completed May 7, 2026, 11:05 p.m.
NED2 Entity disambiguation (via description) batch_69fd1b87a0c48190a68367525ed9d2cb completed May 7, 2026, 11:08 p.m.
Created at: April 10, 2026, 1:04 a.m.