Triple

T17173085
Position Surface form Disambiguated ID Type / Status
Subject Loyola Ramblers E416784 entity
Predicate mascot P52 FINISHED
Object LU Wolf E84514 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: LU Wolf | Statement: [Loyola Ramblers, mascot, LU Wolf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LU Wolf
Context triple: [Loyola Ramblers, mascot, LU Wolf]
  • A. LU Wolf chosen
    LU Wolf is the costumed wolf mascot representing Loyola University Chicago at its athletic events and campus activities.
  • B. C. Wolf
    C. Wolf is the costumed wolf mascot who entertains fans at Erie SeaWolves minor league baseball games.
  • C. Elliott Wolf
    Elliott Wolf is one of the children of television producer Dick Wolf, known for creating the "Law & Order" franchise.
  • D. Jack Keil Wolf
    Jack Keil Wolf was a prominent American electrical engineer and information theorist known for his influential contributions to coding theory, data storage, and communications.
  • E. Berny Wolf
    Berny Wolf was an American animator, director, and producer known for his long career at major studios like Disney and Hanna-Barbera, contributing to classic animated films and television series.
  • 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_69d886d5f34c8190b24564dfaa63f3fb completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3fc0b7c9c819082e503cb493d7e7b completed April 18, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0148415c788190a4248b097f323d03 completed May 11, 2026, 3:08 a.m.
Created at: April 10, 2026, 5:37 a.m.