Triple

T17142124
Position Surface form Disambiguated ID Type / Status
Subject Peretz Hirschbein E415993 entity
Predicate familyName P18 FINISHED
Object Hirschbein
Hirschbein is a Jewish surname most notably associated with Peretz Hirschbein, a prominent Yiddish playwright and writer.
 E1252185 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: Hirschbein | Statement: [Peretz Hirschbein, familyName, Hirschbein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hirschbein
Context triple: [Peretz Hirschbein, familyName, Hirschbein]
  • A. Marheineke
    Marheineke is a German surname most notably associated with the 19th-century Protestant theologian Philipp Marheineke.
  • B. Vogelthal
    Vogelthal is a small village in Bavaria, Germany, known as the birthplace of World War II tank commander Michael Wittmann.
  • C. Belpberg
    Belpberg is a small former municipality in the canton of Bern, Switzerland, situated on a plateau above the Gürbetal valley and known for its rural, scenic landscape.
  • D. Reichardtswerben
    Reichardtswerben is a small municipality in the Weißenfels area of Saxony-Anhalt in eastern Germany.
  • E. Wingsbach
    Wingsbach is a small district within the town of Taunusstein in the Rheingau-Taunus region of Hesse, Germany.
  • 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: Hirschbein
Triple: [Peretz Hirschbein, familyName, Hirschbein]
Generated description
Hirschbein is a Jewish surname most notably associated with Peretz Hirschbein, a prominent Yiddish playwright and writer.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hirschbein
Target entity description: Hirschbein is a Jewish surname most notably associated with Peretz Hirschbein, a prominent Yiddish playwright and writer.
  • A. Marheineke
    Marheineke is a German surname most notably associated with the 19th-century Protestant theologian Philipp Marheineke.
  • B. Vogelthal
    Vogelthal is a small village in Bavaria, Germany, known as the birthplace of World War II tank commander Michael Wittmann.
  • C. Belpberg
    Belpberg is a small former municipality in the canton of Bern, Switzerland, situated on a plateau above the Gürbetal valley and known for its rural, scenic landscape.
  • D. Reichardtswerben
    Reichardtswerben is a small municipality in the Weißenfels area of Saxony-Anhalt in eastern Germany.
  • E. Wingsbach
    Wingsbach is a small district within the town of Taunusstein in the Rheingau-Taunus region of Hesse, Germany.
  • 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_69d886d15af4819092f92f8a129763e6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f2d5de10819090cbd65661b018d3 completed April 18, 2026, 9:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a014154b9848190ac01602eb01ae710 completed May 11, 2026, 2:39 a.m.
NEDg Description generation batch_6a01425d2c20819084c0fa3bd413ebfa completed May 11, 2026, 2:43 a.m.
NED2 Entity disambiguation (via description) batch_6a0142dbb6f48190a631a05c5bada0e4 completed May 11, 2026, 2:45 a.m.
Created at: April 10, 2026, 5:36 a.m.