Triple

T15330135
Position Surface form Disambiguated ID Type / Status
Subject Like Father E366510 entity
Predicate producer P490 FINISHED
Object Lauren Miller Rogen E403003 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: Lauren Miller Rogen | Statement: [Like Father, producer, Lauren Miller Rogen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lauren Miller Rogen
Context triple: [Like Father, producer, Lauren Miller Rogen]
  • A. Lauren Miller Rogen chosen
    Lauren Miller Rogen is an American actress, screenwriter, and director known for her work in comedy films and for co-founding the Alzheimer's charity Hilarity for Charity with her husband Seth Rogen.
  • B. Julia Fox
    Julia Fox is an Italian-American actress and artist best known for her breakout role in the Safdie brothers’ crime thriller "Uncut Gems."
  • C. Adeena Sussman
    Adeena Sussman is an American-Israeli cookbook author and food writer known for her vibrant, flavor-forward recipes and collaborations with prominent culinary figures.
  • D. Maya Erskine
    Maya Erskine is an American actress, writer, and comedian best known for co-creating and starring in the cringe-comedy series "PEN15."
  • E. June Tripp
    June Tripp was a British actress best known for her leading role in Alfred Hitchcock’s silent thriller "The Lodger: A Story of the London Fog."
  • 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_69d85a121520819093dcce999fdefe1a completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e0161ac8190aa1d52c063c02ad0 completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b3f8eac81908489baeb4cb6bb53 completed May 9, 2026, 10:23 a.m.
Created at: April 10, 2026, 3:17 a.m.