Triple

T22633455
Position Surface form Disambiguated ID Type / Status
Subject 99 francs E558614 entity
Predicate editingBy P1954 FINISHED
Object Anita Roth
Anita Roth is a film editor known for her work on the French satirical drama "99 francs."
E1564696 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: Anita Roth | Statement: [99 francs, editingBy, Anita Roth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anita Roth
Context triple: [99 francs, editingBy, Anita Roth]
  • A. Anita Hoffman
    Anita Hoffman was an American political activist and writer associated with the 1960s counterculture and the Youth International Party (Yippies).
  • B. Anita Yagel
    Anita Yagel is best known as the former wife of actor James Doohan, who famously portrayed Montgomery "Scotty" Scott in the original Star Trek television series.
  • C. Ruth Roher
    Ruth Roher is best known as the wife of Canadian actor Lloyd Bochner.
  • D. Martha Roth
    Martha Roth is the wife of American actor and clown Bill Irwin.
  • E. Erika Rosenberg
    Erika Rosenberg is an Argentine-German author and historian known for her biographical works on figures associated with the Holocaust, including Emilie and Oskar Schindler.
  • 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: Anita Roth
Triple: [99 francs, editingBy, Anita Roth]
Generated description
Anita Roth is a film editor known for her work on the French satirical drama "99 francs."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Anita Roth
Target entity description: Anita Roth is a film editor known for her work on the French satirical drama "99 francs."
  • A. Anita Hoffman
    Anita Hoffman was an American political activist and writer associated with the 1960s counterculture and the Youth International Party (Yippies).
  • B. Anita Yagel
    Anita Yagel is best known as the former wife of actor James Doohan, who famously portrayed Montgomery "Scotty" Scott in the original Star Trek television series.
  • C. Ruth Roher
    Ruth Roher is best known as the wife of Canadian actor Lloyd Bochner.
  • D. Martha Roth
    Martha Roth is the wife of American actor and clown Bill Irwin.
  • E. Erika Rosenberg
    Erika Rosenberg is an Argentine-German author and historian known for her biographical works on figures associated with the Holocaust, including Emilie and Oskar Schindler.
  • 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_69e245467d9881908d6985bd0db7a1f1 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1700be10c8190830393fdbec1033d completed April 29, 2026, 2:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bd3597ba88190adb9fcc6f4cf65f3 completed May 19, 2026, 3:04 a.m.
NEDg Description generation batch_6a0bd946ceec8190ab8de32b7e7a77e1 completed May 19, 2026, 3:30 a.m.
NED2 Entity disambiguation (via description) batch_6a0bd9c0cddc819087d0fdd087883d13 completed May 19, 2026, 3:32 a.m.
Created at: April 17, 2026, 3:03 p.m.