Triple

T19624346
Position Surface form Disambiguated ID Type / Status
Subject Stjepan Mesić E471094 entity
Predicate familyName P18 FINISHED
Object Mesić
Mesić is a Croatian surname most prominently associated with Stjepan Mesić, a former president of Croatia.
E1385998 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: Mesić | Statement: [Stjepan Mesić, familyName, Mesić]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mesić
Context triple: [Stjepan Mesić, familyName, Mesić]
  • A. Mesihi
    Mesihi was a prominent Ottoman Divan poet, best known for his refined lyrical style and contributions to classical Turkish poetry during the late 15th and early 16th centuries.
  • B. Bulanon
    Bulanon is a barangay (village-level administrative division) of the city of Sagay in the province of Negros Occidental, Philippines.
  • C. Moša
    Moša was the given name of Moša Pijade, a prominent Yugoslav communist politician, partisan leader, and close associate of Josip Broz Tito.
  • D. Milot
    Milot is a historic town in northern Haiti best known as the site of the Sans-Souci Palace and near the Citadelle Laferrière, key monuments of Haiti’s post-independence era.
  • E. Matei
    Matei is a small coastal village on the island of Taveuni in Fiji, known for its airport and access to nearby resorts and natural attractions.
  • 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: Mesić
Triple: [Stjepan Mesić, familyName, Mesić]
Generated description
Mesić is a Croatian surname most prominently associated with Stjepan Mesić, a former president of Croatia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mesić
Target entity description: Mesić is a Croatian surname most prominently associated with Stjepan Mesić, a former president of Croatia.
  • A. Mesihi
    Mesihi was a prominent Ottoman Divan poet, best known for his refined lyrical style and contributions to classical Turkish poetry during the late 15th and early 16th centuries.
  • B. Bulanon
    Bulanon is a barangay (village-level administrative division) of the city of Sagay in the province of Negros Occidental, Philippines.
  • C. Moša
    Moša was the given name of Moša Pijade, a prominent Yugoslav communist politician, partisan leader, and close associate of Josip Broz Tito.
  • D. Milot
    Milot is a historic town in northern Haiti best known as the site of the Sans-Souci Palace and near the Citadelle Laferrière, key monuments of Haiti’s post-independence era.
  • E. Matei
    Matei is a small coastal village on the island of Taveuni in Fiji, known for its airport and access to nearby resorts and natural attractions.
  • 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_69d8e510fa248190b7afb274a1d4cf73 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e640e92ff48190ae6e6ba2c603d5e7 completed April 20, 2026, 3:06 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0771bc4bdc8190b2e92a1f0aec0ab2 completed May 15, 2026, 7:19 p.m.
NEDg Description generation batch_6a07726ec9d8819099f369d679f1efc0 completed May 15, 2026, 7:22 p.m.
NED2 Entity disambiguation (via description) batch_6a0772e394fc8190b96fe74de6f5fdea completed May 15, 2026, 7:24 p.m.
Created at: April 10, 2026, 1:44 p.m.