Triple

T2546912
Position Surface form Disambiguated ID Type / Status
Subject Forever Female E57922 entity
Predicate title P38 FINISHED
Object Forever Female E57922 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: Forever Female | Statement: [Forever Female, title, Forever Female]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Forever Female
Context triple: [Forever Female, title, Forever Female]
  • A. Forever Female chosen
    Forever Female is a 1953 American comedy-drama film starring Ginger Rogers as an aging Broadway actress grappling with youth, ambition, and changing roles in the theater.
  • B. Semper Femina
    Semper Femina is a critically acclaimed 2017 folk-rock album by English singer-songwriter Laura Marling that explores themes of femininity, identity, and relationships.
  • C. Young Forever
    "Young Forever" is a pop-influenced song by British musician Mr Hudson that blends melodic hooks with reflective lyrics about youth and timelessness.
  • D. Blonde Venus
    Blonde Venus is a 1932 pre-Code Hollywood drama film starring Marlene Dietrich as a nightclub singer whose life unravels amid love, sacrifice, and scandal.
  • E. Modern Girl
    "Modern Girl" is a 1980 pop song by Scottish singer Sheena Easton that became one of her early hits and helped launch her international music career.
  • 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_69ab4a5212d88190b989ce129f2ad87f completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd2e5152c8190b31a5e732d0dde44 completed March 7, 2026, 7:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5d0e6e188190be190965cc02838e completed March 9, 2026, 11:51 p.m.
Created at: March 6, 2026, 9:47 p.m.