Triple

T15909133
Position Surface form Disambiguated ID Type / Status
Subject Janis Ian E385799 entity
Predicate enemyOf P437 FINISHED
Object the Plastics E385825 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: the Plastics | Statement: [Janis Ian, enemyOf, the Plastics]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: the Plastics
Context triple: [Janis Ian, enemyOf, the Plastics]
  • A. PLASTIC
    PLASTIC is a scientific instrument suite on NASA's STEREO mission that measures solar wind ions and energetic particles to study the Sun–Earth connection and space weather.
  • B. Plastic
    "Plastic" is a 2014 British crime thriller film about a group of university students who become involved in a high-stakes credit card fraud scheme.
  • C. Plastic
    "Plastic" is a song by American singer-songwriter Ant Clemons that showcases his smooth R&B style and introspective lyricism.
  • D. The Plastics chosen
    The Plastics are the popular, fashion-obsessed high school clique from the film "Mean Girls," known for their social power and manipulative behavior.
  • E. Meet the Plastics
    "Meet the Plastics" is a standout musical number from the stage adaptation of Mean Girls that introduces and characterizes the high school’s elite clique, the Plastics.
  • 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_69d86da686e4819097cbf3b1fc2d881d completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1565d2f048190a40379ceae00411a completed April 16, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb055307081908a13c98a0e16780c completed May 9, 2026, 10:08 p.m.
Created at: April 10, 2026, 4:52 a.m.