Triple

T18753770
Position Surface form Disambiguated ID Type / Status
Subject Leon Wieseltier E458593 entity
Predicate familyName P18 FINISHED
Object Wieseltier
Wieseltier is the surname of Leon Wieseltier, an American writer and literary editor known for his work on culture, politics, and Jewish thought.
 E1341386 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: Wieseltier | Statement: [Leon Wieseltier, familyName, Wieseltier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wieseltier
Context triple: [Leon Wieseltier, familyName, Wieseltier]
  • A. Nattier
    Nattier is a French surname most famously associated with Jean-Marc Nattier, an 18th-century painter known for his portraits of the ladies of Louis XV’s court.
  • B. Elewijt
    Elewijt is a village in the Flemish Brabant province of Belgium, known as a residential community within the municipality of Zemst.
  • C. Gams
    Gams is a municipality in the canton of St. Gallen in northeastern Switzerland, situated in the Rhine Valley near the border with Liechtenstein.
  • D. Mümling
    The Mümling is a river in the Odenwald region of Germany that flows through Hesse and Bavaria before joining the Main.
  • E. Lauben
    Lauben is a small municipality located in the Unterallgäu district in the Bavarian region of southern 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: Wieseltier
Triple: [Leon Wieseltier, familyName, Wieseltier]
Generated description
Wieseltier is the surname of Leon Wieseltier, an American writer and literary editor known for his work on culture, politics, and Jewish thought.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wieseltier
Target entity description: Wieseltier is the surname of Leon Wieseltier, an American writer and literary editor known for his work on culture, politics, and Jewish thought.
  • A. Nattier
    Nattier is a French surname most famously associated with Jean-Marc Nattier, an 18th-century painter known for his portraits of the ladies of Louis XV’s court.
  • B. Elewijt
    Elewijt is a village in the Flemish Brabant province of Belgium, known as a residential community within the municipality of Zemst.
  • C. Gams
    Gams is a municipality in the canton of St. Gallen in northeastern Switzerland, situated in the Rhine Valley near the border with Liechtenstein.
  • D. Mümling
    The Mümling is a river in the Odenwald region of Germany that flows through Hesse and Bavaria before joining the Main.
  • E. Lauben
    Lauben is a small municipality located in the Unterallgäu district in the Bavarian region of southern 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_69d8d394dc308190b6725073f5db324c completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e579ef4ee48190a9892ac9787ffe37 completed April 20, 2026, 12:57 a.m.
NED1 Entity disambiguation (via context triple) batch_6a053d36fc908190b3193d52ce4504ce completed May 14, 2026, 3:10 a.m.
NEDg Description generation batch_6a053e216ce0819093f0e9e9b707fca8 completed May 14, 2026, 3:14 a.m.
NED2 Entity disambiguation (via description) batch_6a053ed266a481908dc9ff85e1d7cf4f completed May 14, 2026, 3:17 a.m.
Created at: April 10, 2026, 11:51 a.m.