Triple

T15664770
Position Surface form Disambiguated ID Type / Status
Subject Zivia Lubetkin E377158 entity
Predicate familyName P18 FINISHED
Object Lubetkin
Lubetkin is a Jewish surname most notably associated with Zivia Lubetkin, a leader of the Jewish resistance during the Holocaust and a key figure in the Warsaw Ghetto Uprising.
E1169880 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: Lubetkin | Statement: [Zivia Lubetkin, familyName, Lubetkin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lubetkin
Context triple: [Zivia Lubetkin, familyName, Lubetkin]
  • A. Ließem
    Ließem is a village-level district within the municipality of Wachtberg in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
  • B. Maurusz
    Maurusz is a Polish diminutive or affectionate form of the male given name Maurus (Maurycy).
  • C. Bork
    Bork is the surname of Robert Bork, a prominent American jurist and former U.S. Supreme Court nominee.
  • D. Tupolski
    Tupolski is a hard-edged, morally ambiguous police detective in Martin McDonagh’s dark play "The Pillowman," known for his interrogations and psychological manipulation.
  • E. Wallach
    Wallach is a surname and given name of Germanic origin, historically associated with Central and Eastern Europe and borne by various notable figures in arts, science, and public life.
  • 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: Lubetkin
Triple: [Zivia Lubetkin, familyName, Lubetkin]
Generated description
Lubetkin is a Jewish surname most notably associated with Zivia Lubetkin, a leader of the Jewish resistance during the Holocaust and a key figure in the Warsaw Ghetto Uprising.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lubetkin
Target entity description: Lubetkin is a Jewish surname most notably associated with Zivia Lubetkin, a leader of the Jewish resistance during the Holocaust and a key figure in the Warsaw Ghetto Uprising.
  • A. Ließem
    Ließem is a village-level district within the municipality of Wachtberg in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
  • B. Maurusz
    Maurusz is a Polish diminutive or affectionate form of the male given name Maurus (Maurycy).
  • C. Bork
    Bork is the surname of Robert Bork, a prominent American jurist and former U.S. Supreme Court nominee.
  • D. Tupolski
    Tupolski is a hard-edged, morally ambiguous police detective in Martin McDonagh’s dark play "The Pillowman," known for his interrogations and psychological manipulation.
  • E. Wallach
    Wallach is a surname and given name of Germanic origin, historically associated with Central and Eastern Europe and borne by various notable figures in arts, science, and public life.
  • 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_69d85cd2e28481909d4e975bee20872f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04f0f4df08190ad2c5d78e435d8eb completed April 16, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff679ff4648190a2f05d6445fa59df completed May 9, 2026, 4:58 p.m.
NEDg Description generation batch_69ff68af38848190975e374b2c8c917b completed May 9, 2026, 5:02 p.m.
NED2 Entity disambiguation (via description) batch_69ff69660b6c819082dbdf06db1c8fe3 completed May 9, 2026, 5:05 p.m.
Created at: April 10, 2026, 4:16 a.m.