Triple

T17942420
Position Surface form Disambiguated ID Type / Status
Subject İbrahim Temo E448617 entity
Predicate familyName P18 FINISHED
Object Temo
Temo is a surname most notably associated with İbrahim Temo, an influential Ottoman-Albanian physician and political activist involved in the Young Turk movement.
 E1298842 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: Temo | Statement: [İbrahim Temo, familyName, Temo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Temo
Context triple: [İbrahim Temo, familyName, Temo]
  • A. Temoq
    Temoq is an indigenous Aslian language spoken by a small Orang Asli community in Peninsular Malaysia.
  • B. Temù
    Temù is a mountain village and ski resort in the upper Camonica Valley of Lombardy, northern Italy, known for its alpine tourism and proximity to the Adamello ski area.
  • C. Toma
    Toma is a traditional semi-hard cow’s milk cheese from Italy’s Piedmont region, known for its mild, buttery flavor and smooth, elastic texture.
  • D. Toma
    Toma is a major Mande language spoken primarily in Guinea and neighboring West African countries.
  • E. Toma
    Toma is a small town located in Kamikawa Subprefecture on Japan’s northern island of Hokkaido.
  • 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: Temo
Triple: [İbrahim Temo, familyName, Temo]
Generated description
Temo is a surname most notably associated with İbrahim Temo, an influential Ottoman-Albanian physician and political activist involved in the Young Turk movement.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Temo
Target entity description: Temo is a surname most notably associated with İbrahim Temo, an influential Ottoman-Albanian physician and political activist involved in the Young Turk movement.
  • A. Temoq
    Temoq is an indigenous Aslian language spoken by a small Orang Asli community in Peninsular Malaysia.
  • B. Temù
    Temù is a mountain village and ski resort in the upper Camonica Valley of Lombardy, northern Italy, known for its alpine tourism and proximity to the Adamello ski area.
  • C. Toma
    Toma is a traditional semi-hard cow’s milk cheese from Italy’s Piedmont region, known for its mild, buttery flavor and smooth, elastic texture.
  • D. Toma
    Toma is a small town located in Kamikawa Subprefecture on Japan’s northern island of Hokkaido.
  • E. Toma
    Toma is a masculine given name used in various European cultures, often as a form of Thomas.
  • 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_69d8b9f79d14819095540856928f0e25 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4ad96a9008190867fac99588c43cf completed April 19, 2026, 10:25 a.m.
NED1 Entity disambiguation (via context triple) batch_6a033007eef88190b9aaec43633fde86 completed May 12, 2026, 1:50 p.m.
NEDg Description generation batch_6a0330818ce08190bc2add2f9b13708d completed May 12, 2026, 1:52 p.m.
NED2 Entity disambiguation (via description) batch_6a0331c6ce1881908a026a87d6e0935c completed May 12, 2026, 1:57 p.m.
Created at: April 10, 2026, 10:21 a.m.