Triple

T4137570
Position Surface form Disambiguated ID Type / Status
Subject Tevfik Fikret E89191 entity
Predicate notableWork P4 FINISHED
Object Şermin
Şermin is a collection of didactic and lyrical poems for children by the influential Turkish poet Tevfik Fikret.
 E414544 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: Şermin | Statement: [Tevfik Fikret, notableWork, Şermin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Şermin
Context triple: [Tevfik Fikret, notableWork, Şermin]
  • A. Shemiran
    Shemiran is a historically affluent northern district of Tehran, Iran, known for its cooler climate, gardens, and former royal residences.
  • B. Şahmerdan
    Şahmerdan is a short story collection by renowned Turkish writer Sait Faik Abasıyanık, reflecting his modernist style and focus on everyday Istanbul life.
  • C. Shalim
    Shalim is a deity from ancient Canaanite religion, commonly associated with dusk or the setting sun.
  • D. Humera
    Humera is a town in northwestern Ethiopia near the borders with Eritrea and Sudan, known for its strategic location and sesame production.
  • E. Shawiya
    Shawiya refers to an Amazigh (Berber) ethnic group and their Zenati Berber language spoken primarily in the Aurès Mountains of northeastern Algeria.
  • 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: Şermin
Triple: [Tevfik Fikret, notableWork, Şermin]
Generated description
Şermin is a collection of didactic and lyrical poems for children by the influential Turkish poet Tevfik Fikret.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Şermin
Target entity description: Şermin is a collection of didactic and lyrical poems for children by the influential Turkish poet Tevfik Fikret.
  • A. Shemiran
    Shemiran is a historically affluent northern district of Tehran, Iran, known for its cooler climate, gardens, and former royal residences.
  • B. Şahmerdan
    Şahmerdan is a short story collection by renowned Turkish writer Sait Faik Abasıyanık, reflecting his modernist style and focus on everyday Istanbul life.
  • C. Shalim
    Shalim is a deity from ancient Canaanite religion, commonly associated with dusk or the setting sun.
  • D. Humera
    Humera is a town in northwestern Ethiopia near the borders with Eritrea and Sudan, known for its strategic location and sesame production.
  • E. Shawiya
    Shawiya refers to an Amazigh (Berber) ethnic group and their Zenati Berber language spoken primarily in the Aurès Mountains of northeastern Algeria.
  • 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_69aed95785788190ae75bcf0cd1cafdf completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af02345c2c819090a9db6b375a7fc7 completed March 9, 2026, 5:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69b576c9f8a081908c2910ac475e4974 completed March 14, 2026, 2:55 p.m.
NEDg Description generation batch_69b57752b9a881909d4440de630121b9 completed March 14, 2026, 2:57 p.m.
NED2 Entity disambiguation (via description) batch_69b577d6d8ac8190bbd2025cbc326acc completed March 14, 2026, 2:59 p.m.
Created at: March 9, 2026, 3:43 p.m.