Triple

T9162531
Position Surface form Disambiguated ID Type / Status
Subject Lisa Hartman Black E219859 entity
Predicate performerIn P17435 FINISHED
Object Roses Are for the Rich E781440 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: Roses Are for the Rich | Statement: [Lisa Hartman Black, performerIn, Roses Are for the Rich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roses Are for the Rich
Context triple: [Lisa Hartman Black, performerIn, Roses Are for the Rich]
  • A. Roses Are for the Rich chosen
    Roses Are for the Rich is a 1987 American television miniseries melodrama about a woman's quest for revenge against a powerful steel magnate who ruined her family.
  • B. Buy Me a Rose
    "Buy Me a Rose" is a country song most famously recorded by Kenny Rogers, known for its tender narrative about love expressed through small, everyday gestures.
  • C. Five Roses
    Five Roses is a film production company known for its involvement in the creation of the 2005 drama-comedy "Broken Flowers."
  • D. Bed of Roses
    "Bed of Roses" is a power ballad by American rock band Bon Jovi, known for its emotional lyrics and soaring melody, released in the early 1990s.
  • E. Bed of Roses
    Bed of Roses is a 1996 romantic drama film best known for its tender love story and emotive musical score.
  • 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_69ca83e3633c81908688a9fa2306ba99 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccaa2c1a9881909b7100b6e436386d completed April 1, 2026, 5:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05c04533c81909d92ad5fff9bbadf completed April 4, 2026, 12:32 a.m.
Created at: March 30, 2026, 7:21 p.m.