Triple

T10836416
Position Surface form Disambiguated ID Type / Status
Subject Betty Jean Harris E255767 entity
Predicate adoptedChild P10183 FINISHED
Object Debraca Denise E889232 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: Debraca Denise | Statement: [Betty Jean Harris, adoptedChild, Debraca Denise]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Debraca Denise
Context triple: [Betty Jean Harris, adoptedChild, Debraca Denise]
  • A. Debraca Denise chosen
    Debraca Denise is the daughter of comedian Redd Foxx’s ex-wife Betty Jean Harris, who was raised by Foxx and became known to the public through her connection to the legendary entertainer.
  • B. Debra
    Debra is a central character in Cory Doctorow's science fiction novel "Down and Out in the Magic Kingdom," set in a futuristic, reputation-based society at Disney World.
  • C. Debra
    Debra is a feminine given name commonly used in English-speaking countries, derived from the Hebrew name Deborah meaning "bee."
  • D. Debra
    Debra is a troubled, introspective teenage employee at the independent record store in the 1995 cult film "Empire Records."
  • E. Deena
    Deena is a feminine given name, often considered a variant of Dina, used in various cultures.
  • 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_69d6aa81a5d08190aa86689061d1ddd2 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d746ff70148190b844ab92d796af6c completed April 9, 2026, 6:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69dff7c739708190b0d58fc2d6392c6c completed April 15, 2026, 8:40 p.m.
Created at: April 8, 2026, 9:19 p.m.