Triple

T17098610
Position Surface form Disambiguated ID Type / Status
Subject Ozan Tufan E414916 entity
Predicate familyName P18 FINISHED
Object Tufan
Tufan is a Turkish surname most notably associated with professional footballer Ozan Tufan.
 E1250755 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: Tufan | Statement: [Ozan Tufan, familyName, Tufan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tufan
Context triple: [Ozan Tufan, familyName, Tufan]
  • A. Atakule
    Atakule is a prominent observation and communications tower in Ankara, Turkey, known for its panoramic city views and revolving restaurant.
  • B. Kocaali
    Kocaali is a coastal town and district in northwestern Turkey, situated along the Black Sea in Sakarya Province.
  • C. Kadiria
    Kadiria is a town and commune located within Bouira Province in northern Algeria.
  • D. Karatas
    Karatas are a small indigenous ethnic group from the mountainous regions of Dagestan in the North Caucasus, known for their distinct Northeast Caucasian language and traditional highland culture.
  • E. Tarti
    Tarti is a small coastal settlement near Plomari on the Greek island of Lesbos, known for its beach and seaside tavernas.
  • 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: Tufan
Triple: [Ozan Tufan, familyName, Tufan]
Generated description
Tufan is a Turkish surname most notably associated with professional footballer Ozan Tufan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tufan
Target entity description: Tufan is a Turkish surname most notably associated with professional footballer Ozan Tufan.
  • A. Atakule
    Atakule is a prominent observation and communications tower in Ankara, Turkey, known for its panoramic city views and revolving restaurant.
  • B. Kocaali
    Kocaali is a coastal town and district in northwestern Turkey, situated along the Black Sea in Sakarya Province.
  • C. Kadiria
    Kadiria is a town and commune located within Bouira Province in northern Algeria.
  • D. Karatas
    Karatas are a small indigenous ethnic group from the mountainous regions of Dagestan in the North Caucasus, known for their distinct Northeast Caucasian language and traditional highland culture.
  • E. Tarti
    Tarti is a small coastal settlement near Plomari on the Greek island of Lesbos, known for its beach and seaside tavernas.
  • 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_69d886cfc8e88190b05ba466edd35591 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbffafb08190baf9e0b4fdf1b404 completed April 18, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0139fbcbc08190be2a96d03daf0384 completed May 11, 2026, 2:07 a.m.
NEDg Description generation batch_6a013b18645c8190bbf4b7b67e07afaa completed May 11, 2026, 2:12 a.m.
NED2 Entity disambiguation (via description) batch_6a013bb1cde48190aac8aaa55dab68d1 completed May 11, 2026, 2:15 a.m.
Created at: April 10, 2026, 5:35 a.m.