Triple

T1561036
Position Surface form Disambiguated ID Type / Status
Subject Tedy Bruschi E33323 entity
Predicate givenName P17 FINISHED
Object Tedy
Tedy is the given name of Tedy Bruschi, a former professional American football linebacker best known for his career with the New England Patriots.
 E177446 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: Tedy | Statement: [Tedy Bruschi, givenName, Tedy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tedy
Context triple: [Tedy Bruschi, givenName, Tedy]
  • A. Teda
    Teda are a Saharan ethnic group, primarily inhabiting northern Chad and surrounding regions, known for their nomadic lifestyle and Tebu language.
  • B. Tverya
    Tverya is the Hebrew name for Tiberias, an ancient city in northern Israel on the western shore of the Sea of Galilee known for its religious significance and hot springs.
  • C. Tegsedi
    Tegsedi is an antisense oligonucleotide drug used to treat hereditary transthyretin-mediated amyloidosis by reducing the production of the transthyretin protein.
  • D. Zedka
    Zedka is a fellow patient in Paulo Coelho’s novel "Veronika Decides to Die," known for her struggle with depression and her role in challenging Veronika’s understanding of madness and freedom.
  • E. Mže
    Mže is a river in the Czech Republic that flows through the city of Plzeň and forms part of the Berounka river system.
  • 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: Tedy
Triple: [Tedy Bruschi, givenName, Tedy]
Generated description
Tedy is the given name of Tedy Bruschi, a former professional American football linebacker best known for his career with the New England Patriots.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tedy
Target entity description: Tedy is the given name of Tedy Bruschi, a former professional American football linebacker best known for his career with the New England Patriots.
  • A. Teda
    Teda are a Saharan ethnic group, primarily inhabiting northern Chad and surrounding regions, known for their nomadic lifestyle and Tebu language.
  • B. Tverya
    Tverya is the Hebrew name for Tiberias, an ancient city in northern Israel on the western shore of the Sea of Galilee known for its religious significance and hot springs.
  • C. Tegsedi
    Tegsedi is an antisense oligonucleotide drug used to treat hereditary transthyretin-mediated amyloidosis by reducing the production of the transthyretin protein.
  • D. Zedka
    Zedka is a fellow patient in Paulo Coelho’s novel "Veronika Decides to Die," known for her struggle with depression and her role in challenging Veronika’s understanding of madness and freedom.
  • E. Mže
    Mže is a river in the Czech Republic that flows through the city of Plzeň and forms part of the Berounka river system.
  • 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_69ad37151ad48190a8c25899b488c68b completed March 8, 2026, 8:45 a.m.
NEDg Description generation batch_69ad385d931c8190a69b82853ba26a30 completed March 8, 2026, 8:50 a.m.
NED2 Entity disambiguation (via description) batch_69ad38d106348190835d753c6cffcc48 completed March 8, 2026, 8:52 a.m.
Created at: March 4, 2026, 7:27 p.m.