Triple

T26547025
Position Surface form Disambiguated ID Type / Status
Subject Osmanlı Tarihi E671563 entity
Predicate author P4 FINISHED
Object İsmail Hakkı Uzunçarşılı
İsmail Hakkı Uzunçarşılı was a prominent Turkish historian and academic known for his authoritative works on the political and institutional history of the Ottoman Empire.
E1957532 NE FINISHED

How this triple was built (2 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: İsmail Hakkı Uzunçarşılı | Statement: [Osmanlı Tarihi, author, İsmail Hakkı Uzunçarşılı]
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: İsmail Hakkı Uzunçarşılı
Triple: [Osmanlı Tarihi, author, İsmail Hakkı Uzunçarşılı]
Generated description
İsmail Hakkı Uzunçarşılı was a prominent Turkish historian and academic known for his authoritative works on the political and institutional history of the Ottoman Empire.

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_69eeb32163f08190af5f81282738e27a completed April 27, 2026, 12:51 a.m.
NER Named-entity recognition batch_69f61436eee08190a23739d9347ec088 completed May 2, 2026, 3:11 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2a71dfcdc8819093a8beaf6e890f9b completed June 11, 2026, 8:29 a.m.
NEDg Description generation batch_6a2a7277685881909febd93c79afdf40 completed June 11, 2026, 8:31 a.m.
NED2 Entity disambiguation (via description) batch_6a2a8c4acaf081909cacf566566440ce completed June 11, 2026, 10:22 a.m.
Created at: April 27, 2026, 1:45 a.m.