Triple

T5535177
Position Surface form Disambiguated ID Type / Status
Subject Tha Carter IV E145142 entity
Predicate includesTrack P3284 FINISHED
Object Mirror E141037 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: Mirror | Statement: [Tha Carter IV, includesTrack, Mirror]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mirror
Context triple: [Tha Carter IV, includesTrack, Mirror]
  • A. Mirror chosen
    "Mirror" is a reflective, introspective hip-hop/R&B song by Lil Wayne featuring Bruno Mars, known for its emotional lyrics and soulful hook.
  • B. Mirror
    Mirror is a 1975 Russian art film by director Andrei Tarkovsky that blends poetry, memory, and dreamlike imagery in a non-linear meditation on personal and collective history.
  • C. Mirrors
    "Mirrors" is a 2013 pop and R&B ballad by Justin Timberlake, known for its reflective lyrics about lasting love and its expansive, multi-part production.
  • D. Sky Mirror
    Sky Mirror is a large, concave stainless-steel outdoor sculpture by Anish Kapoor that reflects and distorts the sky and surroundings like a giant mirror.
  • E. Mirror, Mirror
    "Mirror, Mirror" is a classic Star Trek: The Original Series episode that introduces the iconic "mirror universe," depicting darker alternate versions of the Enterprise crew.
  • 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_69c008f9955881909bfa8348b56b4739 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01faed1d08190b6a57faedaf1b56a completed March 22, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69c02810084c81909fde56d6ee4ad328 completed March 22, 2026, 5:34 p.m.
Created at: March 22, 2026, 3:34 p.m.