Triple

T10131137
Position Surface form Disambiguated ID Type / Status
Subject Mary Woronov E226339 entity
Predicate familyName P18 FINISHED
Object Woronov
Woronov is the surname of Mary Woronov, an American actress, writer, and artist associated with Andy Warhol’s Factory scene and cult cinema.
 E841768 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: Woronov | Statement: [Mary Woronov, familyName, Woronov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Woronov
Context triple: [Mary Woronov, familyName, Woronov]
  • A. Slobodskoy
    Slobodskoy is a historic town in Kirov Oblast, Russia, known as the birthplace of the writer Alexander Grin.
  • B. Novikov
    Novikov is a common Russian surname borne by numerous notable figures in fields such as mathematics, physics, literature, and the military.
  • C. Alexandrov
    Alexandrov is a historic Russian town in Vladimir Oblast, known for its former status as a royal residence and its well-preserved architectural heritage.
  • D. Vershinin
    Vershinin is a philosophical army officer in Anton Chekhov’s play "Three Sisters," known for his idealistic reflections on the future and unfulfilled dreams.
  • E. Kirillov
    Kirillov is a character in Jean-Luc Godard’s 1967 political film "La Chinoise," representing radical intellectual and revolutionary ideals.
  • 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: Woronov
Triple: [Mary Woronov, familyName, Woronov]
Generated description
Woronov is the surname of Mary Woronov, an American actress, writer, and artist associated with Andy Warhol’s Factory scene and cult cinema.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Woronov
Target entity description: Woronov is the surname of Mary Woronov, an American actress, writer, and artist associated with Andy Warhol’s Factory scene and cult cinema.
  • A. Slobodskoy
    Slobodskoy is a historic town in Kirov Oblast, Russia, known as the birthplace of the writer Alexander Grin.
  • B. Novikov
    Novikov is a common Russian surname borne by numerous notable figures in fields such as mathematics, physics, literature, and the military.
  • C. Alexandrov
    Alexandrov is a historic Russian town in Vladimir Oblast, known for its former status as a royal residence and its well-preserved architectural heritage.
  • D. Vershinin
    Vershinin is a philosophical army officer in Anton Chekhov’s play "Three Sisters," known for his idealistic reflections on the future and unfulfilled dreams.
  • E. Kirillov
    Kirillov is a character in Jean-Luc Godard’s 1967 political film "La Chinoise," representing radical intellectual and revolutionary ideals.
  • 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_69ca843057b48190a86730167f5d6b98 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cdd33557a88190b5fb1938646d8532 completed April 2, 2026, 2:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2cc8462ac81908485115bcf2a2d19 completed April 5, 2026, 8:56 p.m.
NEDg Description generation batch_69d2cdf5baac8190a117cb5cb00de215 completed April 5, 2026, 9:02 p.m.
NED2 Entity disambiguation (via description) batch_69d2ce71fa888190b8dd13df83a2cd78 completed April 5, 2026, 9:04 p.m.
Created at: March 30, 2026, 9:06 p.m.