Triple

T10951075
Position Surface form Disambiguated ID Type / Status
Subject Branko Zebec E258726 entity
Predicate familyName P18 FINISHED
Object Zebec
Zebec is a surname of Slavic origin, notably borne by figures such as Croatian football player and manager Branko Zebec.
E894709 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: Zebec | Statement: [Branko Zebec, familyName, Zebec]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zebec
Context triple: [Branko Zebec, familyName, Zebec]
  • A. Zeb
    Zeb is a central character in Margaret Atwood's dystopian novel "MaddAddam," known for his complex past and role in the post-apocalyptic narrative.
  • B. Zebilla
    Zebilla is a town in Ghana’s Upper East Region that serves as a local commercial and administrative center.
  • C. Zeeb
    Zeeb is a variant transliteration of the Hebrew name Ze'ev, which means "wolf" and is known from its appearance in the Hebrew Bible.
  • D. Zułów
    Zułów is a village in present-day Lithuania best known as the birthplace of Polish statesman and military leader Józef Piłsudski.
  • E. Formoza
    Formoza is an elite Polish naval special operations unit renowned for maritime counter-terrorism, reconnaissance, and high-risk combat missions.
  • 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: Zebec
Triple: [Branko Zebec, familyName, Zebec]
Generated description
Zebec is a surname of Slavic origin, notably borne by figures such as Croatian football player and manager Branko Zebec.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Zebec
Target entity description: Zebec is a surname of Slavic origin, notably borne by figures such as Croatian football player and manager Branko Zebec.
  • A. Zeb
    Zeb is a central character in Margaret Atwood's dystopian novel "MaddAddam," known for his complex past and role in the post-apocalyptic narrative.
  • B. Zebilla
    Zebilla is a town in Ghana’s Upper East Region that serves as a local commercial and administrative center.
  • C. Zeeb
    Zeeb is a variant transliteration of the Hebrew name Ze'ev, which means "wolf" and is known from its appearance in the Hebrew Bible.
  • D. Zułów
    Zułów is a village in present-day Lithuania best known as the birthplace of Polish statesman and military leader Józef Piłsudski.
  • E. Formoza
    Formoza is an elite Polish naval special operations unit renowned for maritime counter-terrorism, reconnaissance, and high-risk combat missions.
  • 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_69d6aa88500c819097d7032ca578e74f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770fc156c8190826e124c13ce7242 completed April 9, 2026, 9:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69e23c57038c819087671177c2ed5633 completed April 17, 2026, 1:57 p.m.
NEDg Description generation batch_69e24543bd2c8190a3c807baa76c30f6 completed April 17, 2026, 2:35 p.m.
NED2 Entity disambiguation (via description) batch_69e25d11ef24819091e730ae2416a058 completed April 17, 2026, 4:17 p.m.
Created at: April 8, 2026, 9:23 p.m.