Triple

T2692741
Position Surface form Disambiguated ID Type / Status
Subject Eric Roth E58441 entity
Predicate familyName P18 FINISHED
Object Roth
Roth is a common German and Jewish surname borne by numerous notable individuals across fields such as film, literature, science, and politics.
 E97815 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: [Eric Roth, familyName, Roth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Roth
Context triple: [Eric Roth, familyName, Roth]
  • A. 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.
  • B. Roth
    Roth is a locality within the German town of Lichtenfels in the state of Bavaria.
  • 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: [Eric Roth, familyName, Roth]
Generated description
Roth is a common German and Jewish surname borne by numerous notable individuals across fields such as film, literature, science, and politics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Roth
Target entity description: Roth is a common German and Jewish surname borne by numerous notable individuals across fields such as film, literature, science, and politics.
  • A. Roth
    Roth is a locality within the German town of Lichtenfels in the state of Bavaria.
  • B. Roth chosen
    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.

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_69ab4ac269e481909cb317d79e68b75b completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abda0dd97c81909a60cf200f57c087 completed March 7, 2026, 7:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69afaf6501088190b8fe1ba8de4f6e00 completed March 10, 2026, 5:43 a.m.
NEDg Description generation batch_69afb039cdcc8190953368c1f6757503 completed March 10, 2026, 5:46 a.m.
NED2 Entity disambiguation (via description) batch_69afb0c27ee48190a319fd2fab02f755 completed March 10, 2026, 5:48 a.m.
Created at: March 6, 2026, 9:54 p.m.