Triple

T19533073
Position Surface form Disambiguated ID Type / Status
Subject XO TOUR Llif3 E488701 entity
Predicate writer P1360 FINISHED
Object TM88 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: TM88 | Statement: [XO TOUR Llif3, writer, TM88]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TM88
Context triple: [XO TOUR Llif3, writer, TM88]
  • A. TM88 chosen
    TM88 is an American record producer and DJ best known for his work in trap music and collaborations with prominent hip-hop artists.
  • B. TOTO
    TOTO is the commonly used abbreviation for the Tongue of the Ocean, a deep, U-shaped submarine trench in the Bahamas.
  • C. TOTO
    TOTO is a Dutch sports betting and lottery brand known for sponsoring major football competitions in the Netherlands.
  • D. TOTO
    TOTO is an American rock band best known for its polished musicianship and hits like "Africa," "Rosanna," and "Hold the Line."
  • E. Royal 88
    Royal 88 is an alternate name for the Oldsmobile 88, a popular full-size American car produced by Oldsmobile from the late 1940s through the 1990s.
  • 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_69d8e8db5b6c8190984b61f91981f575 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6364091f4819088b27d0ffdf6010d completed April 20, 2026, 2:20 p.m.
Created at: April 10, 2026, 1:41 p.m.