Triple

T18030863
Position Surface form Disambiguated ID Type / Status
Subject Open Invitation E431384 entity
Predicate followedBy P78 FINISHED
Object Black Rose 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: Black Rose | Statement: [Open Invitation, followedBy, Black Rose]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Black Rose
Context triple: [Open Invitation, followedBy, Black Rose]
  • A. Black Rose
    "Black Rose" is a song by the American metalcore band Culture, recognized as one of their notable tracks within the hardcore punk and metalcore scene.
  • B. Black Rose
    "Black Rose" is a country song featured on Waylon Jennings' influential outlaw country album "Honky Tonk Heroes."
  • C. The Black Rose
    The Black Rose is a 1950 historical adventure film, shot in Technicolor and noted for its lush cinematography, that follows an Englishman’s journey across 13th-century Asia to China.
  • D. Black Rose (album)
    Black Rose is a 2015 R&B studio album by American singer and actor Tyrese Gibson, noted for its soulful themes of love, heartbreak, and personal growth.
  • E. Black Roses
    Black Roses is a song featured on the soundtrack of the 1993 crime-romance film "True Romance."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69d8b9050fb48190890155145deb0a66 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4be35a70081909d24d36506d18131 completed April 19, 2026, 11:36 a.m.
Created at: April 10, 2026, 10:25 a.m.