Triple

T9480024
Position Surface form Disambiguated ID Type / Status
Subject Conrad E228611 entity
Predicate hasDiminutive P456 FINISHED
Object Con
Con is a common diminutive or nickname for the given name Conrad.
 E802448 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: Con | Statement: [Conrad, hasDiminutive, Con]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Con
Context triple: [Conrad, hasDiminutive, Con]
  • A. Contin
    Contin is a small village and historic parish in the Highland council area of Scotland, situated near the River Black Water and known as a gateway to the surrounding glens and lochs.
  • B. CON
    CON is the stock ticker symbol for Continental AG, a major German automotive parts manufacturer and tire producer.
  • C. Cor
    Cor is a common Dutch diminutive or short form of the given name Cornelis.
  • D. Coll
    Coll is a small, sparsely populated island in the Inner Hebrides of Scotland, known for its sandy beaches, dark skies, and rich wildlife.
  • E. CONT
    CONT is the European Parliament’s Committee on Budgetary Control, responsible for overseeing the implementation and proper use of the European Union budget.
  • 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: Con
Triple: [Conrad, hasDiminutive, Con]
Generated description
Con is a common diminutive or nickname for the given name Conrad.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Con
Target entity description: Con is a common diminutive or nickname for the given name Conrad.
  • A. Contin
    Contin is a small village and historic parish in the Highland council area of Scotland, situated near the River Black Water and known as a gateway to the surrounding glens and lochs.
  • B. CON
    CON is the stock ticker symbol for Continental AG, a major German automotive parts manufacturer and tire producer.
  • C. Cor
    Cor is a common Dutch diminutive or short form of the given name Cornelis.
  • D. Coll
    Coll is a small, sparsely populated island in the Inner Hebrides of Scotland, known for its sandy beaches, dark skies, and rich wildlife.
  • E. CONT
    CONT is the European Parliament’s Committee on Budgetary Control, responsible for overseeing the implementation and proper use of the European Union budget.
  • 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_69ca84730a5081908de282651019bf2f completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd8016813881908dafc026779c89c4 completed April 1, 2026, 8:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12cf7526c8190b96693bdc13743d5 completed April 4, 2026, 3:23 p.m.
NEDg Description generation batch_69d12ed9240c8190bd206a0d2263e249 completed April 4, 2026, 3:31 p.m.
NED2 Entity disambiguation (via description) batch_69d12f870d2881909b0b50adfd2ba13b completed April 4, 2026, 3:34 p.m.
Created at: March 30, 2026, 7:54 p.m.