Triple

T15154543
Position Surface form Disambiguated ID Type / Status
Subject Joseph Trumpeldor E362036 entity
Predicate familyName P18 FINISHED
Object Trumpeldor
Trumpeldor is the surname of Joseph Trumpeldor, a prominent early Zionist leader and Jewish military hero.
 E1140016 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: Trumpeldor | Statement: [Joseph Trumpeldor, familyName, Trumpeldor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Trumpeldor
Context triple: [Joseph Trumpeldor, familyName, Trumpeldor]
  • A. Hamat Gader
    Hamat Gader is a popular hot springs and spa resort site in the Golan Heights, known for its thermal baths, archaeological remains, and recreational facilities.
  • B. Zemgor
    Zemgor was a major Russian émigré relief and aid organization formed after the 1917 Revolution to support refugees, intellectuals, and former officials abroad.
  • C. Herztal
    Herztal is a village and district of the town of Oberkirch in the Ortenau region of Baden-Württemberg, Germany.
  • D. Schacht
    Schacht is a German surname most notably associated with Hjalmar Schacht, the influential economist and Reichsbank president in early 20th-century Germany.
  • E. Shosha
    Shosha is a novel by Nobel Prize–winning author Isaac Bashevis Singer that portrays a doomed love story set against the backdrop of pre–World War II Jewish Warsaw.
  • 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: Trumpeldor
Triple: [Joseph Trumpeldor, familyName, Trumpeldor]
Generated description
Trumpeldor is the surname of Joseph Trumpeldor, a prominent early Zionist leader and Jewish military hero.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Trumpeldor
Target entity description: Trumpeldor is the surname of Joseph Trumpeldor, a prominent early Zionist leader and Jewish military hero.
  • A. Hamat Gader
    Hamat Gader is a popular hot springs and spa resort site in the Golan Heights, known for its thermal baths, archaeological remains, and recreational facilities.
  • B. Zemgor
    Zemgor was a major Russian émigré relief and aid organization formed after the 1917 Revolution to support refugees, intellectuals, and former officials abroad.
  • C. Herztal
    Herztal is a village and district of the town of Oberkirch in the Ortenau region of Baden-Württemberg, Germany.
  • D. Schacht
    Schacht is a German surname most notably associated with Hjalmar Schacht, the influential economist and Reichsbank president in early 20th-century Germany.
  • E. Shosha
    Shosha is a novel by Nobel Prize–winning author Isaac Bashevis Singer that portrays a doomed love story set against the backdrop of pre–World War II Jewish Warsaw.
  • 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_69d85a0759908190b8a051d2e2a1cbe6 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0060b0cd08190afad14cffcc7d93f completed April 15, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69febff6344c819085a105c6bcf835bc completed May 9, 2026, 5:02 a.m.
NEDg Description generation batch_69fec1d9d1488190ae1374ab4f467037 completed May 9, 2026, 5:10 a.m.
NED2 Entity disambiguation (via description) batch_69fec26bb3cc819098e19c01c1e9c8da completed May 9, 2026, 5:13 a.m.
Created at: April 10, 2026, 3:08 a.m.