Triple

T7281539
Position Surface form Disambiguated ID Type / Status
Subject Fatih Terim E163160 entity
Predicate familyName P18 FINISHED
Object Terim
Terim is the surname of Fatih Terim, a prominent Turkish football manager and former player.
E654086 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: Terim | Statement: [Fatih Terim, familyName, Terim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Terim
Context triple: [Fatih Terim, familyName, Terim]
  • A. Temerin
    Temerin is a town and municipality in the autonomous province of Vojvodina in northern Serbia.
  • B. Terioki
    Terioki was the former name of the Finnish coastal town now known as Zelenogorsk, a resort area near Saint Petersburg on the Gulf of Finland.
  • C. Tergu
    Tergu is a small municipality in the Gallura region of northern Sardinia, Italy, known for its rural setting and historic Romanesque church of Nostra Signora di Tergu.
  • D. Teron
    Teron is one of the traditional clans of the Karbi people, an indigenous ethnic group primarily inhabiting the Karbi Anglong region of Assam in Northeast India.
  • E. Tré
    Tré is the stage name of Frank Edwin Wright III, the energetic and long-time drummer of the American punk rock band Green Day.
  • 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: Terim
Triple: [Fatih Terim, familyName, Terim]
Generated description
Terim is the surname of Fatih Terim, a prominent Turkish football manager and former player.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Terim
Target entity description: Terim is the surname of Fatih Terim, a prominent Turkish football manager and former player.
  • A. Temerin
    Temerin is a town and municipality in the autonomous province of Vojvodina in northern Serbia.
  • B. Terioki
    Terioki was the former name of the Finnish coastal town now known as Zelenogorsk, a resort area near Saint Petersburg on the Gulf of Finland.
  • C. Teri
    Teri is a central character in the film and television series "Soul Food," known as the ambitious, high-powered attorney whose strained relationships with her family drive much of the story’s drama.
  • D. Tergu
    Tergu is a small municipality in the Gallura region of northern Sardinia, Italy, known for its rural setting and historic Romanesque church of Nostra Signora di Tergu.
  • E. Teron
    Teron is one of the traditional clans of the Karbi people, an indigenous ethnic group primarily inhabiting the Karbi Anglong region of Assam in Northeast India.
  • 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_69c6885c5964819085b209701769877f completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eb34fe0c8190a642fd3339f0cacd completed March 27, 2026, 8:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7db379e1c81908ebd4c44504ce5fb completed March 28, 2026, 1:44 p.m.
NEDg Description generation batch_69c7df4788e081908ccc162125c6550d completed March 28, 2026, 2:01 p.m.
NED2 Entity disambiguation (via description) batch_69c7dfa826d081909129df80cca13daa completed March 28, 2026, 2:03 p.m.
Created at: March 27, 2026, 2:59 p.m.