Triple

T22484577
Position Surface form Disambiguated ID Type / Status
Subject A Picture of Nectar E555846 entity
Predicate hasTrack P3284 FINISHED
Object Magilla NE NERFINISHED

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: Magilla | Statement: [A Picture of Nectar, hasTrack, Magilla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Magilla
Context triple: [A Picture of Nectar, hasTrack, Magilla]
  • A. Magilla Gorilla chosen
    Magilla Gorilla is a classic Hanna-Barbera animated television character, a lovable but trouble-prone gorilla often featured in comedic situations involving his attempts to find a permanent home.
  • B. Whizzer Brown
    Whizzer Brown is a central character in William Finn's musical trilogy "Marvin's Stories" (including Falsettos), known for his complex romantic relationship with Marvin and his poignant struggle with AIDS.
  • C. Moochie
    Moochie is a recurring, energetic child character from classic Disney live-action films and television shows, famously played by actor Kevin Corcoran.
  • D. Magoo
    Magoo was an American rapper best known as one half of the hip hop duo Timbaland & Magoo, active in the late 1990s and early 2000s.
  • E. Porky the Javelina
    Porky the Javelina is the costumed javelina mascot that represents Texas A&M University–Kingsville at athletic events and school functions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e53897c819088863779f8c50bb0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15c3bb8cc8190950efd84ebe86b73 completed April 29, 2026, 1:17 a.m.
Created at: April 16, 2026, 8:49 p.m.