Triple

T9068867
Position Surface form Disambiguated ID Type / Status
Subject Jets (West Side Story) E217310 entity
Predicate conflictWith P4897 FINISHED
Object Sharks (West Side Story) E776051 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: Sharks (West Side Story) | Statement: [Jets (West Side Story), conflictWith, Sharks (West Side Story)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sharks (West Side Story)
Context triple: [Jets (West Side Story), conflictWith, Sharks (West Side Story)]
  • A. Sharks (West Side Story) chosen
    The Sharks are a Puerto Rican street gang in the musical "West Side Story," serving as the rival group to the white American Jets and embodying themes of racism, immigration, and cultural conflict.
  • B. Tiger (West Side Story)
    Tiger is a minor member of the Jets gang in the musical and film "West Side Story."
  • C. Riff (West Side Story)
    Riff is the charismatic and hot-headed founder and leader of the Jets gang in the musical and film "West Side Story."
  • D. Snowboy (West Side Story)
    Snowboy is a minor member of the Jets gang in *West Side Story*, often portrayed as a comic, wisecracking character within the group.
  • E. Anybodys (West Side Story)
    Anybodys is a tomboyish, streetwise girl in "West Side Story" who desperately wants to be accepted as a full member of the Jets gang.
  • 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_69ca83d5a7f48190b16c1e59bd43ede0 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc955ba250819085fa49e0059d06c1 completed April 1, 2026, 3:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69d02fed4b6081908be3ee570e27abc5 completed April 3, 2026, 9:23 p.m.
Created at: March 30, 2026, 7:11 p.m.