Triple

T1815180
Position Surface form Disambiguated ID Type / Status
Subject Dominik Hašek E40420 entity
Predicate givenName P17 FINISHED
Object Dominik
Dominik is a male given name of Slavic origin, commonly used in Central and Eastern Europe.
 E204401 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: Dominik | Statement: [Dominik Hašek, givenName, Dominik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dominik
Context triple: [Dominik Hašek, givenName, Dominik]
  • A. Dominic
    Dominic is a central character in the romantic comedy film "Think Like a Man," portrayed as an aspiring chef and one of the men whose love life is influenced by Steve Harvey’s relationship advice.
  • B. Lukas Haas
    Lukas Haas is an American actor known for his early breakthrough role in "Witness" (1985) and a diverse career spanning independent films and major Hollywood productions.
  • C. Denis
    Denis is a masculine given name of French origin, famously borne by the Enlightenment philosopher Denis Diderot.
  • D. Jeffrey
    Jeffrey is a masculine given name of Germanic origin, commonly used in English-speaking countries.
  • E. Markus
    Markus is the given first name of the renowned abstract expressionist painter Mark Rothko.
  • 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: Dominik
Triple: [Dominik Hašek, givenName, Dominik]
Generated description
Dominik is a male given name of Slavic origin, commonly used in Central and Eastern Europe.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dominik
Target entity description: Dominik is a male given name of Slavic origin, commonly used in Central and Eastern Europe.
  • A. Dominic
    Dominic is a central character in the romantic comedy film "Think Like a Man," portrayed as an aspiring chef and one of the men whose love life is influenced by Steve Harvey’s relationship advice.
  • B. Lukas Haas
    Lukas Haas is an American actor known for his early breakthrough role in "Witness" (1985) and a diverse career spanning independent films and major Hollywood productions.
  • C. Denis
    Denis is a masculine given name of French origin, famously borne by the Enlightenment philosopher Denis Diderot.
  • D. Jeffrey
    Jeffrey is a masculine given name of Germanic origin, commonly used in English-speaking countries.
  • E. Markus
    Markus is the given first name of the renowned abstract expressionist painter Mark Rothko.
  • 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_69a8864526c081908a3a4d74f689e2c5 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa65f4628481909ca8e4c2302752ac completed March 6, 2026, 5:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69adbf5de46c8190817f67d692e98803 completed March 8, 2026, 6:26 p.m.
NEDg Description generation batch_69adc2b4d8a0819080ff41cf73417276 completed March 8, 2026, 6:40 p.m.
NED2 Entity disambiguation (via description) batch_69adc38732d8819092e0ac76354f08c1 completed March 8, 2026, 6:44 p.m.
Created at: March 4, 2026, 7:32 p.m.