Triple

T11317783
Position Surface form Disambiguated ID Type / Status
Subject Molly Picon E268009 entity
Predicate birthName P65 FINISHED
Object Małka Opiekun
Małka Opiekun, better known as Molly Picon, was a celebrated American actress and singer famed for her work in Yiddish theater and film.
 E918858 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: Małka Opiekun | Statement: [Molly Picon, birthName, Małka Opiekun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Małka Opiekun
Context triple: [Molly Picon, birthName, Małka Opiekun]
  • A. Milcza
    Milcza is a village in southeastern Poland located within the administrative district of Gmina Rymanów in the Subcarpathian region.
  • B. Agnieszka
    Agnieszka is a Polish feminine given name, commonly regarded as the Polish form of Agnes.
  • C. Michalina
    Michalina is a feminine given name of Slavic origin, commonly used in Polish-speaking countries.
  • D. Sylwia
    Sylwia is a feminine given name, primarily used in Poland, that is a cognate of the name Sylvia.
  • E. Marysieńka
    Marysieńka is the affectionate Polish nickname of Marie Casimire Louise de La Grange d’Arquien, the French-born queen consort of King John III Sobieski of Poland.
  • 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: Małka Opiekun
Triple: [Molly Picon, birthName, Małka Opiekun]
Generated description
Małka Opiekun, better known as Molly Picon, was a celebrated American actress and singer famed for her work in Yiddish theater and film.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Małka Opiekun
Target entity description: Małka Opiekun, better known as Molly Picon, was a celebrated American actress and singer famed for her work in Yiddish theater and film.
  • A. Milcza
    Milcza is a village in southeastern Poland located within the administrative district of Gmina Rymanów in the Subcarpathian region.
  • B. Agnieszka
    Agnieszka is a Polish feminine given name, commonly regarded as the Polish form of Agnes.
  • C. Michalina
    Michalina is a feminine given name of Slavic origin, commonly used in Polish-speaking countries.
  • D. Sylwia
    Sylwia is a feminine given name, primarily used in Poland, that is a cognate of the name Sylvia.
  • E. Marysieńka
    Marysieńka is the affectionate Polish nickname of Marie Casimire Louise de La Grange d’Arquien, the French-born queen consort of King John III Sobieski of Poland.
  • 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_69d6aaca5c24819083db46a30d86cb34 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9c3cf748190987838029d9f7fff completed April 9, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69e525d3160c8190b58c5c04a66b3e3e completed April 19, 2026, 6:58 p.m.
NEDg Description generation batch_69e52c81449c8190847b64fa91a45b2e completed April 19, 2026, 7:26 p.m.
NED2 Entity disambiguation (via description) batch_69e531b079708190ac9e19127d36a848 completed April 19, 2026, 7:49 p.m.
Created at: April 8, 2026, 9:32 p.m.