Triple

T11839959
Position Surface form Disambiguated ID Type / Status
Subject Erichthonius E281620 entity
Predicate child P120 FINISHED
Object Tros
Tros is a figure in Greek mythology known as the eponymous founder and king of Troy, from whom the Trojans derive their name.
 E950501 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: Tros | Statement: [Erichthonius, child, Tros]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tros
Context triple: [Erichthonius, child, Tros]
  • A. Trogen
    Trogen is a municipality in the canton of Appenzell Ausserrhoden in northeastern Switzerland, known for its picturesque setting and traditional Swiss architecture.
  • B. Dardanos
    Dardanos was an ancient town in the Troad region of northwestern Anatolia, known from Greek and Roman sources and associated with early Trojan legends.
  • C. Troy
    Troy is a historic city in eastern New York State, known for its 19th-century architecture and role in the Industrial Revolution as a major manufacturing center.
  • D. Troy
    Troy is a 2004 epic historical war film loosely based on Homer's Iliad, depicting the legendary conflict between the Greeks and Trojans.
  • E. Troy
    Troy is a suburban city in Michigan known for its strong business community, shopping centers, and role as a key part of the Detroit metropolitan area.
  • 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: Tros
Triple: [Erichthonius, child, Tros]
Generated description
Tros is a figure in Greek mythology known as the eponymous founder and king of Troy, from whom the Trojans derive their name.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tros
Target entity description: Tros is a figure in Greek mythology known as the eponymous founder and king of Troy, from whom the Trojans derive their name.
  • A. Trogen
    Trogen is a municipality in the canton of Appenzell Ausserrhoden in northeastern Switzerland, known for its picturesque setting and traditional Swiss architecture.
  • B. Dardanos
    Dardanos was an ancient town in the Troad region of northwestern Anatolia, known from Greek and Roman sources and associated with early Trojan legends.
  • C. Troy
    Troy is a historic city in eastern New York State, known for its 19th-century architecture and role in the Industrial Revolution as a major manufacturing center.
  • D. Troy
    Troy is a 2004 epic historical war film loosely based on Homer's Iliad, depicting the legendary conflict between the Greeks and Trojans.
  • E. Troy
    Troy is a suburban city in Michigan known for its strong business community, shopping centers, and role as a key part of the Detroit metropolitan area.
  • 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.