Triple

T11898972
Position Surface form Disambiguated ID Type / Status
Subject Call Me If You Get Lost E283101 entity
Predicate featuresArtist P1952 FINISHED
Object Teezo Touchdown E747327 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: Teezo Touchdown | Statement: [Call Me If You Get Lost, featuresArtist, Teezo Touchdown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Teezo Touchdown
Context triple: [Call Me If You Get Lost, featuresArtist, Teezo Touchdown]
  • A. Teezo Touchdown chosen
    Teezo Touchdown is an experimental American rapper, singer, and producer known for his genre-blending sound, eccentric aesthetic, and high-profile collaborations.
  • B. Teclea
    Teclea is a genus of flowering plants in the citrus family Rutaceae, native to parts of Africa and known for its aromatic foliage.
  • C. Zeebo
    Zeebo was a Brazil-focused, low-cost 3G-enabled video game console designed to bring digital gaming to emerging markets.
  • D. Tetro
    Tetro is a 2009 drama film directed by Francis Ford Coppola, in which Maribel Verdú plays a key supporting role in a story about fractured family relationships and artistic rivalry in Buenos Aires.
  • E. The Touch
    The Touch is a psychological science fiction novel by Daniel Keyes that explores the emotional and ethical consequences of a man gaining dangerous telekinetic powers.
  • 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_69d6ab2a90b08190a4e818821cc93e6d completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8dd13cc10819089d8d5103e562924 completed April 10, 2026, 11:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69f4182f18c08190b22706b024d60dd7 completed May 1, 2026, 3:04 a.m.
Created at: April 8, 2026, 9:44 p.m.