Triple

T17331931
Position Surface form Disambiguated ID Type / Status
Subject Barbarella E420836 entity
Predicate character P662 FINISHED
Object Barbarella (character) E420836 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: Barbarella (character) | Statement: [Barbarella, character, Barbarella (character)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barbarella (character)
Context triple: [Barbarella, character, Barbarella (character)]
  • A. Barbarella chosen
    Barbarella is a 1968 cult science fiction film starring Jane Fonda, known for its campy, erotic space adventure style and iconic visual design.
  • B. Broomhilda von Shaft
    Broomhilda von Shaft is the enslaved wife of Django and the central damsel-in-distress figure whose rescue drives the plot of Quentin Tarantino’s film "Django Unchained."
  • C. Mrs. Spacely
    Mrs. Spacely is a recurring character from the animated television series "The Jetsons," known as the wife of George Jetson’s boss, Cosmo Spacely.
  • D. Barbara
    Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
  • E. Barbara
    Barbara is a station on Paris Métro Line 4 serving the southern suburbs of the French capital.
  • 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_69d889d3adc881909319f1edb8d2a956 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e439d6870c8190989897aa6beba8ff completed April 19, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_6a018c5025d08190ab2581a3b04ae661 completed May 11, 2026, 7:59 a.m.
Created at: April 10, 2026, 5:43 a.m.