Triple

T11379476
Position Surface form Disambiguated ID Type / Status
Subject Woody Allen E269555 entity
Predicate spouse P13 FINISHED
Object Harlene Rosen E269555 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: Harlene Rosen | Statement: [Woody Allen, spouse, Harlene Rosen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harlene Rosen
Context triple: [Woody Allen, spouse, Harlene Rosen]
  • A. Harlene Rosen chosen
    Harlene Rosen is an American woman best known as the first wife of filmmaker and comedian Woody Allen, to whom she was married in the 1950s.
  • B. Renée Lees
    Renée Lees was the wife of prominent British philosopher A. J. Ayer.
  • C. Meryl Silverburgh
    Meryl Silverburgh is a skilled and determined special operations soldier in the Metal Gear video game series, known for her close ties to Solid Snake and her prominent role in its military and political conflicts.
  • D. Helen Mosel
    Helen Mosel, better known as Helen Wolff, was a notable German-American editor and publisher recognized for bringing important European literature to English-speaking audiences.
  • E. Hylda Tafler
    Hylda Tafler was the wife of British film director Lewis Gilbert, known for her long marriage to and support of the acclaimed filmmaker behind movies like "Alfie" and several James Bond films.
  • 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_69d6aacca1048190b39dbbc2174616fa completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7fc30f5d48190bb273df4c9e583a9 completed April 9, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5d32db0d081908f5a8f6ca1357997 completed April 20, 2026, 7:18 a.m.
Created at: April 8, 2026, 9:34 p.m.