Triple

T7303757
Position Surface form Disambiguated ID Type / Status
Subject Hakan Şükür E167922 entity
Predicate familyName P18 FINISHED
Object Şükür
Şükür is a Turkish surname most prominently associated with former professional footballer Hakan Şükür, one of Turkey’s all-time leading goal scorers.
 E654532 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: Şükür | Statement: [Hakan Şükür, familyName, Şükür]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Şükür
Context triple: [Hakan Şükür, familyName, Şükür]
  • A. Surallah
    Surallah is a landlocked agricultural municipality in the province of South Cotabato in the Philippines, known for its rice and corn production and its role as a commercial hub in the Allah Valley.
  • B. Mebarak
    Mebarak is the Lebanese-origin family name of international pop star Shakira and her paternal relatives.
  • C. Lasalimu
    Lasalimu is a coastal town and district in Southeast Sulawesi, Indonesia, known as a local administrative and transit area in the region.
  • D. Ad-Duha
    Ad-Duha is the 93rd chapter of the Qur’an, known for consoling the Prophet Muhammad and affirming that God’s care and future blessings surpass past hardships.
  • E. Shalateen
    Shalateen is a remote Egyptian town near the Sudanese border, known for its Bedouin communities, camel markets, and strategic location along the Red Sea coast.
  • 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: Şükür
Triple: [Hakan Şükür, familyName, Şükür]
Generated description
Şükür is a Turkish surname most prominently associated with former professional footballer Hakan Şükür, one of Turkey’s all-time leading goal scorers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Şükür
Target entity description: Şükür is a Turkish surname most prominently associated with former professional footballer Hakan Şükür, one of Turkey’s all-time leading goal scorers.
  • A. Surallah
    Surallah is a landlocked agricultural municipality in the province of South Cotabato in the Philippines, known for its rice and corn production and its role as a commercial hub in the Allah Valley.
  • B. Mebarak
    Mebarak is the Lebanese-origin family name of international pop star Shakira and her paternal relatives.
  • C. Lasalimu
    Lasalimu is a coastal town and district in Southeast Sulawesi, Indonesia, known as a local administrative and transit area in the region.
  • D. Ad-Duha
    Ad-Duha is the 93rd chapter of the Qur’an, known for consoling the Prophet Muhammad and affirming that God’s care and future blessings surpass past hardships.
  • E. Shalateen
    Shalateen is a remote Egyptian town near the Sudanese border, known for its Bedouin communities, camel markets, and strategic location along the Red Sea coast.
  • 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_69c6888c820881909fc68f689fe1c251 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6ebb352ec8190846eff044e08805e completed March 27, 2026, 8:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7e55bfccc8190a46067c60c3c1a3f completed March 28, 2026, 2:27 p.m.
NEDg Description generation batch_69c7e5fbe8a8819083a892f4e54013eb completed March 28, 2026, 2:30 p.m.
NED2 Entity disambiguation (via description) batch_69c7e69ca1ac8190a398da894c6cc04e completed March 28, 2026, 2:33 p.m.
Created at: March 27, 2026, 3:01 p.m.