Triple

T11840121
Position Surface form Disambiguated ID Type / Status
Subject Assaracus E281625 entity
Predicate saidToBeTheSameAs P39 FINISHED
Object Asarakos
Asarakos is an alternative name for Assaracus, a figure in Greek mythology known as a king of Dardania and ancestor of the Trojan royal line.
 E950509 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: Asarakos | Statement: [Assaracus, saidToBeTheSameAs, Asarakos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Asarakos
Context triple: [Assaracus, saidToBeTheSameAs, Asarakos]
  • A. Charops
    Charops is a minor figure in Greek mythology known primarily as a son of the Thracian king Oeagrus.
  • B. Sakaar
    Sakaar is a chaotic, trash-covered planet ruled by the Grandmaster in the Marvel Cinematic Universe, known for its gladiatorial contests and bizarre cosmic detritus.
  • C. Zarak
    Zarak is a 1956 British adventure film starring Michael Wilding, known for its exotic setting and tale of a former tribal leader turned outlaw.
  • D. Azdak
    Azdak is a shrewd, unorthodox village judge whose rough-edged wisdom and sense of justice drive the central conflict in Bertolt Brecht’s play "The Caucasian Chalk Circle."
  • E. Assas
    Assas is the commonly used short name for Université Paris 2 Panthéon-Assas, a prestigious French university renowned for its law and social sciences programs.
  • 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: Asarakos
Triple: [Assaracus, saidToBeTheSameAs, Asarakos]
Generated description
Asarakos is an alternative name for Assaracus, a figure in Greek mythology known as a king of Dardania and ancestor of the Trojan royal line.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Asarakos
Target entity description: Asarakos is an alternative name for Assaracus, a figure in Greek mythology known as a king of Dardania and ancestor of the Trojan royal line.
  • A. Charops
    Charops is a minor figure in Greek mythology known primarily as a son of the Thracian king Oeagrus.
  • B. Sakaar
    Sakaar is a chaotic, trash-covered planet ruled by the Grandmaster in the Marvel Cinematic Universe, known for its gladiatorial contests and bizarre cosmic detritus.
  • C. Zarak
    Zarak is a 1956 British adventure film starring Michael Wilding, known for its exotic setting and tale of a former tribal leader turned outlaw.
  • D. Azdak
    Azdak is a shrewd, unorthodox village judge whose rough-edged wisdom and sense of justice drive the central conflict in Bertolt Brecht’s play "The Caucasian Chalk Circle."
  • E. Assas
    Assas is the commonly used short name for Université Paris 2 Panthéon-Assas, a prestigious French university renowned for its law and social sciences programs.
  • 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_69d6ab276f8c8190b1966a0ef11349ac completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a63106b48190917817ec40d21a49 completed April 10, 2026, 7:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69f1678668ac81909bddf67e8c176757 completed April 29, 2026, 2:05 a.m.
NEDg Description generation batch_69f17004fb908190a486c6718c5252cb completed April 29, 2026, 2:42 a.m.
NED2 Entity disambiguation (via description) batch_69f1db11f0f48190832ca4f552f21751 completed April 29, 2026, 10:18 a.m.
Created at: April 8, 2026, 9:43 p.m.