Triple

T5751794
Position Surface form Disambiguated ID Type / Status
Subject LuckyChap Entertainment E126869 entity
Predicate produced P490 FINISHED
Object Dollface E543875 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: Dollface | Statement: [LuckyChap Entertainment, produced, Dollface]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dollface
Context triple: [LuckyChap Entertainment, produced, Dollface]
  • A. Dollface chosen
    Dollface is an American comedy series that follows a young woman who, after a breakup, must rekindle the female friendships she left behind while navigating adulthood.
  • B. Two Faces
    Two Faces is a song by Bruce Springsteen from his 1987 album "Tunnel of Love," reflecting themes of inner conflict and emotional duality.
  • C. Broken Face
    "Broken Face" is a raw, punk-influenced track by the Pixies, featured on their influential 1988 album *Surfer Rosa*.
  • D. Your Pretty Face Is Going to Hell
    "Your Pretty Face Is Going to Hell" is a raw, high-energy proto-punk song by The Stooges, showcasing the band's aggressive sound and Iggy Pop's unrestrained vocal style.
  • E. The Blonde
    The Blonde is a character typically portrayed as an attractive, enigmatic woman whose appearance and demeanor often play into themes of allure and mystery.
  • 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_69c00832aedc81909899801b141fa3b4 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0288b580c81909e1289982b106695 completed March 22, 2026, 5:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c097fcba40819097543d151b890788 completed March 23, 2026, 1:31 a.m.
Created at: March 22, 2026, 3:48 p.m.