Triple

T15965334
Position Surface form Disambiguated ID Type / Status
Subject Damian Hubbard E387172 entity
Predicate conflictWith P4897 FINISHED
Object Regina George and The Plastics E385798 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: Regina George and The Plastics | Statement: [Damian Hubbard, conflictWith, Regina George and The Plastics]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Regina George and The Plastics
Context triple: [Damian Hubbard, conflictWith, Regina George and The Plastics]
  • A. Regina George chosen
    Regina George is the manipulative and popular queen bee of her high school clique in the teen comedy film "Mean Girls."
  • B. The Princess Diaries
    The Princess Diaries is a popular 2001 teen comedy film about an awkward American teenager who discovers she is heir to the throne of a small European kingdom.
  • C. Regina George – Rachel McAdams
    Regina George – Rachel McAdams is the actress’s iconic role as the manipulative, ultra-popular high school queen bee in the teen comedy film "Mean Girls."
  • D. Bratz
    Bratz is a popular fashion doll franchise and multimedia brand known for its stylized, trendsetting teenage characters and spin-off films and TV shows.
  • E. Legally Blonde
    Legally Blonde is a popular 2001 comedy film about a sorority girl who enrolls in Harvard Law School to win back her ex-boyfriend and discovers her own intelligence and potential.
  • 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_69d86da94ccc819083d187f5dc6a123e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e157258b3c8190a72c868bd055ed94 completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe84f4888190b3fdb5f32763f78d completed May 9, 2026, 11:08 p.m.
Created at: April 10, 2026, 4:54 a.m.