Triple

T6463192
Position Surface form Disambiguated ID Type / Status
Subject Flesh of My Flesh, Blood of My Blood E142170 entity
Predicate producer P490 FINISHED
Object Dame Grease E494129 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: Dame Grease | Statement: [Flesh of My Flesh, Blood of My Blood, producer, Dame Grease]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dame Grease
Context triple: [Flesh of My Flesh, Blood of My Blood, producer, Dame Grease]
  • A. Dame Grease chosen
    Dame Grease is an American hip-hop record producer best known for his work with DMX and the Ruff Ryders collective during the late 1990s and early 2000s.
  • B. Glamorous Glennis
    Glamorous Glennis was the name Chuck Yeager gave to several of his aircraft, most famously the Bell X-1 rocket plane in which he first broke the sound barrier.
  • C. Gloria
    Gloria is a joyful hymn of praise in Christian liturgy, traditionally sung during major celebrations such as the Easter Vigil.
  • D. Gloria
    Gloria is a feminine given name of Latin origin meaning "glory," borne by numerous notable figures in entertainment, politics, and literature.
  • E. Gloria
    Gloria is a fictional character featured in Green Day’s song “¡Viva La Gloria!” from their rock opera album 21st Century Breakdown.
  • 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_69c008d2f91c8190a8178767a35e08fc completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c069f9b58081909412b9da753b9285 completed March 22, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c653971f988190847187ae60b6eeb5 completed March 27, 2026, 9:53 a.m.
Created at: March 22, 2026, 4:49 p.m.