Triple

T12601223
Position Surface form Disambiguated ID Type / Status
Subject General Council E300861 entity
Predicate hasMember P10 FINISHED
Object Antoni Zabicki
Antoni Zabicki is a member of the General Council, participating in its decision-making and governance activities.
E1064053 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: Antoni Zabicki | Statement: [General Council, hasMember, Antoni Zabicki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Antoni Zabicki
Context triple: [General Council, hasMember, Antoni Zabicki]
  • A. Antoni Zaleski
    Antoni Zaleski is a personal name that may refer to one of several individuals, rather than a single widely recognized public figure.
  • B. Marek Zaleski
    Marek Zaleski is a Polish literary critic and essayist known for his work on modern Polish literature and literary theory.
  • C. Zbigniew Zawistowski
    Zbigniew Zawistowski is a fictional character known primarily as the husband of Sophie Zawistowski in William Styron’s novel “Sophie’s Choice.”
  • D. Alfons Zgrzebniok
    Alfons Zgrzebniok was a Polish military officer and nationalist activist best known for leading armed efforts to secure Upper Silesia for Poland in the early 20th century.
  • E. Piotr Sobociński
    Piotr Sobociński was a Polish cinematographer known for his visually expressive work on both European art films and major Hollywood productions.
  • 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: Antoni Zabicki
Triple: [General Council, hasMember, Antoni Zabicki]
Generated description
Antoni Zabicki is a member of the General Council, participating in its decision-making and governance activities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Antoni Zabicki
Target entity description: Antoni Zabicki is a member of the General Council, participating in its decision-making and governance activities.
  • A. Antoni Zaleski
    Antoni Zaleski is a personal name that may refer to one of several individuals, rather than a single widely recognized public figure.
  • B. Marek Zaleski
    Marek Zaleski is a Polish literary critic and essayist known for his work on modern Polish literature and literary theory.
  • C. Zbigniew Zawistowski
    Zbigniew Zawistowski is a fictional character known primarily as the husband of Sophie Zawistowski in William Styron’s novel “Sophie’s Choice.”
  • D. Alfons Zgrzebniok
    Alfons Zgrzebniok was a Polish military officer and nationalist activist best known for leading armed efforts to secure Upper Silesia for Poland in the early 20th century.
  • E. Piotr Sobociński
    Piotr Sobociński was a Polish cinematographer known for his visually expressive work on both European art films and major Hollywood productions.
  • 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_69d7bdea2ca881908f379526c13b1145 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954d1f6ac8190ab21ca7bcbc80129 completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8be7834819085bfce037c467004 completed May 3, 2026, 9:06 p.m.
NEDg Description generation batch_69f7b9d773f881908660e8a0645d318d completed May 3, 2026, 9:10 p.m.
NED2 Entity disambiguation (via description) batch_69f7bbf47c888190be32a4105903120a completed May 3, 2026, 9:19 p.m.
Created at: April 9, 2026, 5:09 p.m.