Triple

T24989161
Position Surface form Disambiguated ID Type / Status
Subject نظامی گنجوی E625401 entity
Predicate اثر P157510 FINISHED
Object لیلی و مجنون
لیلی و مجنون منظومهٔ عاشقانهٔ مشهور نظامی گنجوی است که داستان عشق افسانه‌ای و تراژیک لیلی و مجنون را در قالب شعر روایی بازآفرینی می‌کند.
 E1658025 NE FINISHED

How this triple was built (3 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: لیلی و مجنون | Statement: [نظامی گنجوی, اثر, لیلی و مجنون]
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: لیلی و مجنون
Triple: [نظامی گنجوی, اثر, لیلی و مجنون]
Generated description
لیلی و مجنون منظومهٔ عاشقانهٔ مشهور نظامی گنجوی است که داستان عشق افسانه‌ای و تراژیک لیلی و مجنون را در قالب شعر روایی بازآفرینی می‌کند.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: اثر
Context triple: [نظامی گنجوی, اثر, لیلی و مجنون]
  • A. اثر chosen
    Indicates a causal or influential relationship where one entity produces, changes, or leaves an impact on another.
  • B. التأثير
    Indicates a relationship where one entity produces a change or has an influence on another entity or its state.
  • C. eventEffect
    Indicates the resulting change, outcome, or consequence that one event has on another state, entity, or event.
  • D. effectOnUser
    Indicates how an action, event, or condition influences or impacts a user.
  • E. effectOfSong
    Indicates the influence or impact that a particular song has on something, such as a listener, mood, or situation.
  • F. None of above.

Provenance (6 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_69e2ff2611c081908710457fbe6d376b completed April 18, 2026, 3:48 a.m.
NER Named-entity recognition batch_69f464b4c9b0819085daa00c7c3b8b76 completed May 1, 2026, 8:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a103367eca08190a5cb236020e2dd91 completed May 22, 2026, 10:43 a.m.
NEDg Description generation batch_6a103440175081908c16266d18fa3f7f completed May 22, 2026, 10:47 a.m.
NED2 Entity disambiguation (via description) batch_6a1035004ea081908dc1f871f02ad95b completed May 22, 2026, 10:50 a.m.
PD Predicate disambiguation batch_69f45cfb53f4819099bba48c5057e787 completed May 1, 2026, 7:57 a.m.
Created at: April 18, 2026, 6:03 a.m.