Triple

T3456956
Position Surface form Disambiguated ID Type / Status
Subject Philip Roth E72926 entity
Predicate familyName P18 FINISHED
Object Roth
Roth is a common German- and Jewish-origin surname borne by numerous notable individuals across literature, politics, science, and the arts.
E359772 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: Roth | Statement: [Philip Roth, familyName, Roth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roth
Context triple: [Philip Roth, familyName, Roth]
  • A. Roth
    Roth is a locality within the German town of Lichtenfels in the state of Bavaria.
  • B. Roth
    Roth is one of the central soldiers in Norman Mailer’s World War II novel "The Naked and the Dead," representing the psychological and moral struggles of men in combat.
  • C. Roth
    Roth is a town in the Bavarian region of Middle Franconia in southern Germany.
  • D. Rothkowitz
    Rothkowitz is the original family surname of the abstract expressionist painter Mark Rothko, reflecting his Eastern European Jewish heritage.
  • E. 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.
  • 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: Roth
Triple: [Philip Roth, familyName, Roth]
Generated description
Roth is a common German- and Jewish-origin surname borne by numerous notable individuals across literature, politics, science, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Roth
Target entity description: Roth is a common German- and Jewish-origin surname borne by numerous notable individuals across literature, politics, science, and the arts.
  • A. Roth
    Roth is a locality within the German town of Lichtenfels in the state of Bavaria.
  • B. Roth
    Roth is a town in the Bavarian region of Middle Franconia in southern Germany.
  • C. Roth
    Roth is one of the central soldiers in Norman Mailer’s World War II novel "The Naked and the Dead," representing the psychological and moral struggles of men in combat.
  • D. Rothkowitz
    Rothkowitz is the original family surname of the abstract expressionist painter Mark Rothko, reflecting his Eastern European Jewish heritage.
  • E. 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.
  • 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_69ad85b12a908190a1d10a6b03b4f8ae completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbaa9837c8190aafd618c6af3446e completed March 8, 2026, 6:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69b36104a1048190b6fa9f552786a85a completed March 13, 2026, 12:57 a.m.
NEDg Description generation batch_69b364c6c2f881909b72a78123cd445d completed March 13, 2026, 1:13 a.m.
NED2 Entity disambiguation (via description) batch_69b365328b188190b44d8690eaa5b12e completed March 13, 2026, 1:15 a.m.
Created at: March 8, 2026, 3:16 p.m.