Triple

T3544619
Position Surface form Disambiguated ID Type / Status
Subject Undun E74964 entity
Predicate previousWork P9710 FINISHED
Object How I Got Over E67799 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: How I Got Over | Statement: [Undun, previousWork, How I Got Over]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: How I Got Over
Context triple: [Undun, previousWork, How I Got Over]
  • A. How I Got Over chosen
    How I Got Over is a critically acclaimed 2010 studio album by hip hop band The Roots that blends socially conscious lyrics with soulful, experimental production.
  • B. How I Got Over
    "How I Got Over" is a renowned gospel song popularized by Mahalia Jackson that became an anthem of hope and resilience during the American civil rights era.
  • C. Gonna Get Over You
    "Gonna Get Over You" is a pop song by American singer-songwriter Sara Bareilles, known for its upbeat, retro-inspired sound and themes of moving on after heartbreak.
  • D. Never Really Over
    "Never Really Over" is a 2019 electropop single by American singer Katy Perry that explores the lingering emotions of a past relationship.
  • E. Far from Over
    "Far from Over" is a 1983 rock song by Frank Stallone that gained popularity as part of the soundtrack for the film "Staying Alive."
  • 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_69ad85d274cc8190ab59c97298a1cfbf completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbf76c5b08190b898d31b80a3a350 completed March 8, 2026, 6:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b38bdfe5748190b2de831635221ce1 completed March 13, 2026, 4 a.m.
Created at: March 8, 2026, 3:20 p.m.