Triple

T18223098
Position Surface form Disambiguated ID Type / Status
Subject Aram E436353 entity
Predicate hasScriptForm P5713 FINISHED
Object Արամ
Արամ is the Armenian-script form of the given name Aram, a common male name in Armenian culture.
 E1315031 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: Արամ | Statement: [Aram, hasScriptForm, Արամ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Արամ
Context triple: [Aram, hasScriptForm, Արամ]
  • A. Aramm
    Aramm is a 2017 Tamil social drama film starring Nayanthara as a dedicated district collector tackling a village water crisis and systemic negligence.
  • B. Åram
    Åram is a small village in Vanylven Municipality in Møre og Romsdal county, Norway, known for its coastal setting and rural character.
  • C. Arayik
    Arayik is an Armenian politician best known for serving as the President of the self-proclaimed Republic of Artsakh (Nagorno-Karabakh).
  • D. Ayrum
    Ayrum is a small town in northeastern Armenia known for its location near the Georgian border and its role as a local transport and trade hub.
  • E. Arman
    Arman was a French-born American artist best known for his pioneering work in Nouveau Réalisme, particularly his accumulations and destructions of everyday objects as sculptural and conceptual art.
  • 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: Արամ
Triple: [Aram, hasScriptForm, Արամ]
Generated description
Արամ is the Armenian-script form of the given name Aram, a common male name in Armenian culture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Արամ
Target entity description: Արամ is the Armenian-script form of the given name Aram, a common male name in Armenian culture.
  • A. Aramm
    Aramm is a 2017 Tamil social drama film starring Nayanthara as a dedicated district collector tackling a village water crisis and systemic negligence.
  • B. Åram
    Åram is a small village in Vanylven Municipality in Møre og Romsdal county, Norway, known for its coastal setting and rural character.
  • C. Arayik
    Arayik is an Armenian politician best known for serving as the President of the self-proclaimed Republic of Artsakh (Nagorno-Karabakh).
  • D. Ayrum
    Ayrum is a small town in northeastern Armenia known for its location near the Georgian border and its role as a local transport and trade hub.
  • E. Arman
    Arman was a French-born American artist best known for his pioneering work in Nouveau Réalisme, particularly his accumulations and destructions of everyday objects as sculptural and conceptual art.
  • 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_69d8b9103a8081908bbb0836fef10efd completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e47d9b348190897d5a1e70b39ec5 completed April 19, 2026, 2:19 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03b3e8bc28819086254e3a03aed2e6 completed May 12, 2026, 11:12 p.m.
NEDg Description generation batch_6a03b4bb6ae48190a68c2a3314f0d3ba completed May 12, 2026, 11:16 p.m.
NED2 Entity disambiguation (via description) batch_6a03b56958a0819088613a9726c71819 completed May 12, 2026, 11:19 p.m.
Created at: April 10, 2026, 10:32 a.m.