Triple

T8418108
Position Surface form Disambiguated ID Type / Status
Subject Rutgers athletic events E198778 entity
Predicate mascot P52 FINISHED
Object Scarlet Knight E38981 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: Scarlet Knight | Statement: [Rutgers athletic events, mascot, Scarlet Knight]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Scarlet Knight
Context triple: [Rutgers athletic events, mascot, Scarlet Knight]
  • A. Scarlet Knight chosen
    Scarlet Knight is the armored medieval knight mascot representing Rutgers University's athletic teams.
  • B. Scarlet Lady
    Scarlet Lady is a cruise ship operated by Virgin Voyages, known for its adults-only voyages and modern, boutique-style onboard experience.
  • C. Scarlet
    Scarlet is a studio album by American rapper and singer Doja Cat that showcases her shift toward a darker, more rap-focused sound.
  • D. Scarlet
    Scarlet is the alias of Will Scathelock, a character often associated with the Robin Hood legends.
  • E. Flame Princess
    Flame Princess is a fiery elemental royal from the animated series "Adventure Time," known for her volatile temper, flame-based powers, and complex relationship with Finn the Human.
  • 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_69ca8312d63c8190bf133b676b44a385 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb84c66b5c8190b9515f55dc08ac03 completed March 31, 2026, 8:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce033df9c48190a8ec6b9347ba6e81 completed April 2, 2026, 5:48 a.m.
Created at: March 30, 2026, 6:06 p.m.