Triple

T914353
Position Surface form Disambiguated ID Type / Status
Subject James R. Schlesinger E19734 entity
Predicate familyName P18 FINISHED
Object Schlesinger
Schlesinger is a surname most prominently associated with James R. Schlesinger, a former U.S. Secretary of Defense and influential figure in American national security policy.
E108742 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: Schlesinger | Statement: [James R. Schlesinger, familyName, Schlesinger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schlesinger
Context triple: [James R. Schlesinger, familyName, Schlesinger]
  • A. M. Lincoln Schuster
    M. Lincoln Schuster was an American publisher and co-founder of the major publishing house Simon & Schuster.
  • B. Willard
    Willard is a masculine given name of Old English origin meaning "resolute" or "strong-willed."
  • C. Rubin
    Rubin is a surname most famously associated with American astronomer Vera Rubin, whose work on galaxy rotation curves provided key evidence for the existence of dark matter.
  • D. Theodore
    Theodore is a masculine given name of Greek origin, meaning "gift of God," from which the nickname Ted is derived.
  • E. Sidney Verba
    Sidney Verba was a prominent American political scientist renowned for his pioneering work on political participation, comparative politics, and civic culture.
  • 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: Schlesinger
Triple: [James R. Schlesinger, familyName, Schlesinger]
Generated description
Schlesinger is a surname most prominently associated with James R. Schlesinger, a former U.S. Secretary of Defense and influential figure in American national security policy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Schlesinger
Target entity description: Schlesinger is a surname most prominently associated with James R. Schlesinger, a former U.S. Secretary of Defense and influential figure in American national security policy.
  • A. M. Lincoln Schuster
    M. Lincoln Schuster was an American publisher and co-founder of the major publishing house Simon & Schuster.
  • B. Willard
    Willard is a masculine given name of Old English origin meaning "resolute" or "strong-willed."
  • C. Rubin
    Rubin is a surname most famously associated with American astronomer Vera Rubin, whose work on galaxy rotation curves provided key evidence for the existence of dark matter.
  • D. Theodore
    Theodore is a masculine given name of Greek origin, meaning "gift of God," from which the nickname Ted is derived.
  • E. Sidney Verba
    Sidney Verba was a prominent American political scientist renowned for his pioneering work on political participation, comparative politics, and civic culture.
  • 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_69a4939f91a08190ba68c2c81eab90fe completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b2f605bc8190a5245aa2ca55cf43 completed March 1, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7cf5e59588190b9d2bb00adf5c871 completed March 4, 2026, 6:21 a.m.
NEDg Description generation batch_69a7d037e4608190a898b872cc3bfd8d completed March 4, 2026, 6:24 a.m.
NED2 Entity disambiguation (via description) batch_69a7d0b60f6881908060455f4a9b4ec6 completed March 4, 2026, 6:27 a.m.
Created at: March 1, 2026, 7:39 p.m.