Triple

T1561037
Position Surface form Disambiguated ID Type / Status
Subject Tedy Bruschi E33323 entity
Predicate familyName P18 FINISHED
Object Bruschi
Bruschi is the surname of Tedy Bruschi, a former NFL linebacker best known for his career with the New England Patriots.
 E178921 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: Bruschi | Statement: [Tedy Bruschi, familyName, Bruschi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bruschi
Context triple: [Tedy Bruschi, familyName, Bruschi]
  • A. Trezzini
    Trezzini is an Italian-origin surname most notably associated with Domenico Trezzini, the Swiss-Italian architect who helped shape early 18th-century Saint Petersburg.
  • B. Pecci
    Pecci is the Italian noble family from which Pope Leo XIII, born Vincenzo Gioacchino Pecci, originated.
  • C. Formoza
    Formoza is an elite Polish naval special operations unit renowned for maritime counter-terrorism, reconnaissance, and high-risk combat missions.
  • D. Gavignano
    Gavignano is a small Italian town in the Lazio region, historically notable as the birthplace of Pope Innocent III.
  • E. Ghisonaccia
    Ghisonaccia is a coastal commune in eastern Corsica, France, known for its beaches, agricultural plain, and tourism activities.
  • 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: Bruschi
Triple: [Tedy Bruschi, familyName, Bruschi]
Generated description
Bruschi is the surname of Tedy Bruschi, a former NFL linebacker best known for his career with the New England Patriots.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bruschi
Target entity description: Bruschi is the surname of Tedy Bruschi, a former NFL linebacker best known for his career with the New England Patriots.
  • A. Trezzini
    Trezzini is an Italian-origin surname most notably associated with Domenico Trezzini, the Swiss-Italian architect who helped shape early 18th-century Saint Petersburg.
  • B. Pecci
    Pecci is the Italian noble family from which Pope Leo XIII, born Vincenzo Gioacchino Pecci, originated.
  • C. Formoza
    Formoza is an elite Polish naval special operations unit renowned for maritime counter-terrorism, reconnaissance, and high-risk combat missions.
  • D. Gavignano
    Gavignano is a small Italian town in the Lazio region, historically notable as the birthplace of Pope Innocent III.
  • E. Ghisonaccia
    Ghisonaccia is a coastal commune in eastern Corsica, France, known for its beaches, agricultural plain, and tourism activities.
  • 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_69a885ef9cf48190b0af0f5ce3d02231 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9088710a881909a1226e4b54311b8 completed March 5, 2026, 4:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad401e12088190b6f0f5b0d8a423cf completed March 8, 2026, 9:23 a.m.
NEDg Description generation batch_69ad40f485e481909e801cdd3da3c27b completed March 8, 2026, 9:27 a.m.
NED2 Entity disambiguation (via description) batch_69ad415932f4819083639af0e0836345 completed March 8, 2026, 9:28 a.m.
Created at: March 4, 2026, 7:27 p.m.