Triple

T7376161
Position Surface form Disambiguated ID Type / Status
Subject Alex Karpovsky E170127 entity
Predicate collaboratedWith P435 FINISHED
Object Lena Dunham E151336 NE FINISHED

How this triple was built (2 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: Lena Dunham | Statement: [Alex Karpovsky, collaboratedWith, Lena Dunham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lena Dunham
Context triple: [Alex Karpovsky, collaboratedWith, Lena Dunham]
  • A. Lena Dunham chosen
    Lena Dunham is an American writer, director, and actress best known for creating and starring in the HBO series "Girls," which explored the lives of young women in New York City.
  • B. Rachel Bloom
    Rachel Bloom is an American actress, comedian, writer, and singer best known for co-creating and starring in the musical comedy television series "Crazy Ex-Girlfriend."
  • C. Tavi Gevinson
    Tavi Gevinson is an American writer, editor, and actress who first gained prominence as a teenage fashion blogger and founder of the online magazine Rookie.
  • D. Annalee Newman
    Annalee Newman was the wife of influential American abstract expressionist painter Barnett Newman and an important steward of his artistic legacy.
  • E. Ari Wegner
    Ari Wegner is an acclaimed Australian cinematographer known for her visually striking work on films such as "The Power of the Dog."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c68a5bfaac81909ce7f001dfb70c76 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f1a8b18c8190ad1a19521eda2319 completed March 27, 2026, 9:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c802d15a8481908e43701459607276 completed March 28, 2026, 4:33 p.m.
Created at: March 27, 2026, 3:07 p.m.