Triple

T2242099
Position Surface form Disambiguated ID Type / Status
Subject Fernando Henrique Cardoso E49418 entity
Predicate hasHonorificTitle P368 FINISHED
Object FHC
FHC is the commonly used acronym and honorific referring to Fernando Henrique Cardoso, a prominent Brazilian sociologist and former president of Brazil.
 E247808 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: FHC | Statement: [Fernando Henrique Cardoso, hasHonorificTitle, FHC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FHC
Context triple: [Fernando Henrique Cardoso, hasHonorificTitle, FHC]
  • A. FED
    FED is the commonly used abbreviation for the Fluids Engineering Division, a professional group focused on research and advancements in fluid mechanics and related technologies.
  • B. HMC
    HMC is a professional association of leading independent school heads in the United Kingdom and internationally.
  • C. HMC
    HMC is the stock ticker symbol for Honda Motor Co., Ltd., a major Japanese multinational manufacturer of automobiles, motorcycles, and power equipment.
  • D. FhG
    FhG is the abbreviation for the Fraunhofer Society, a leading German organization for applied research and development.
  • E. FISC
    FISC is a specialized U.S. federal court that oversees and authorizes government requests for foreign intelligence surveillance, particularly in national security and counterterrorism cases.
  • 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: FHC
Triple: [Fernando Henrique Cardoso, hasHonorificTitle, FHC]
Generated description
FHC is the commonly used acronym and honorific referring to Fernando Henrique Cardoso, a prominent Brazilian sociologist and former president of Brazil.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FHC
Target entity description: FHC is the commonly used acronym and honorific referring to Fernando Henrique Cardoso, a prominent Brazilian sociologist and former president of Brazil.
  • A. FED
    FED is the commonly used abbreviation for the Fluids Engineering Division, a professional group focused on research and advancements in fluid mechanics and related technologies.
  • B. HMC
    HMC is a professional association of leading independent school heads in the United Kingdom and internationally.
  • C. HMC
    HMC is the stock ticker symbol for Honda Motor Co., Ltd., a major Japanese multinational manufacturer of automobiles, motorcycles, and power equipment.
  • D. FhG
    FhG is the abbreviation for the Fraunhofer Society, a leading German organization for applied research and development.
  • E. FISC
    FISC is a specialized U.S. federal court that oversees and authorizes government requests for foreign intelligence surveillance, particularly in national security and counterterrorism cases.
  • 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_69a88aa979788190ad6500f1d8eee2fc completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc0c017548190a71fb4a0e2a8189f completed March 7, 2026, 6:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6b0eef98819083bede32490cba7e completed March 9, 2026, 6:39 a.m.
NEDg Description generation batch_69ae6bbccdb08190a73fd20a110219d9 completed March 9, 2026, 6:42 a.m.
NED2 Entity disambiguation (via description) batch_69ae6c3d07a08190a6221a33fd02f73e completed March 9, 2026, 6:44 a.m.
Created at: March 4, 2026, 7:47 p.m.