Triple

T22833645
Position Surface form Disambiguated ID Type / Status
Subject Haley Reinhart E565878 entity
Predicate debutAlbum P3278 FINISHED
Object Listen Up! 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: Listen Up! | Statement: [Haley Reinhart, debutAlbum, Listen Up!]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Listen Up!
Context triple: [Haley Reinhart, debutAlbum, Listen Up!]
  • A. Listen Up! chosen
    "Listen Up!" is a song by the American pop rock band The Gossip, known for their raw, dance-punk energy and Beth Ditto’s powerful vocals.
  • B. Listen to Me
    "Listen to Me" is a crime thriller novel by Tess Gerritsen featuring her popular Rizzoli & Isles characters in a tense investigation that intertwines neighborhood secrets with a complex murder case.
  • C. Listen to Me
    "Listen to Me" is a 1989 American drama film about a college debate team, notable for featuring Jason Gould among its cast.
  • D. Hear It
    Hear It is a track from the album "Song of Seven" by Jon Anderson, known for its melodic, progressive rock style.
  • E. Hear It Now
    Hear It Now was an influential American radio news documentary program created by Edward R. Murrow and Fred W. Friendly that pioneered in-depth, sound-rich coverage of current events in the late 1940s and early 1950s.
  • 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_69e24585ab1c81909b2b5065d15805d5 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17e2d830881908d69929b854aad66 completed April 29, 2026, 3:42 a.m.
Created at: April 17, 2026, 3:35 p.m.