Triple

T13027799
Position Surface form Disambiguated ID Type / Status
Subject Power Book II: Ghost E326352 entity
Predicate executiveProducer P7225 FINISHED
Object Danielle DeJesus
Danielle DeJesus is a television producer best known for her executive production work on the crime drama series "Power Book II: Ghost."
E1036639 NE FINISHED

How this triple was built (4 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: Danielle DeJesus | Statement: [Power Book II: Ghost, executiveProducer, Danielle DeJesus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Danielle DeJesus
Context triple: [Power Book II: Ghost, executiveProducer, Danielle DeJesus]
  • A. Briana DeJesus
    Briana DeJesus is a reality television personality best known for chronicling her life as a young mother on MTV’s Teen Mom franchise.
  • B. Daphne Zuniga
    Daphne Zuniga is an American actress best known for her roles in the sci-fi parody film "Spaceballs" and the television series "Melrose Place."
  • C. Carina DeLuca
    Carina DeLuca is a fictional Italian OB/GYN and sexologist on the television series "Grey's Anatomy" and its spin-off "Station 19."
  • D. Lauren Vélez
    Lauren Vélez is an American actress best known for her role as Lieutenant Maria LaGuerta on the television series "Dexter."
  • E. Danielle Vitalis
    Danielle Vitalis is a British actress known for her role in the sci-fi comedy film "Attack the Block" and appearances in various UK television series.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Danielle DeJesus
Triple: [Power Book II: Ghost, executiveProducer, Danielle DeJesus]
Generated description
Danielle DeJesus is a television producer best known for her executive production work on the crime drama series "Power Book II: Ghost."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Danielle DeJesus
Target entity description: Danielle DeJesus is a television producer best known for her executive production work on the crime drama series "Power Book II: Ghost."
  • A. Briana DeJesus
    Briana DeJesus is a reality television personality best known for chronicling her life as a young mother on MTV’s Teen Mom franchise.
  • B. Daphne Zuniga
    Daphne Zuniga is an American actress best known for her roles in the sci-fi parody film "Spaceballs" and the television series "Melrose Place."
  • C. Carina DeLuca
    Carina DeLuca is a fictional Italian OB/GYN and sexologist on the television series "Grey's Anatomy" and its spin-off "Station 19."
  • D. Lauren Vélez
    Lauren Vélez is an American actress best known for her role as Lieutenant Maria LaGuerta on the television series "Dexter."
  • E. Danielle Vitalis
    Danielle Vitalis is a British actress known for her role in the sci-fi comedy film "Attack the Block" and appearances in various UK television series.
  • F. None of above. chosen

Provenance (5 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_69d8076cc45c81908123123f43e69266 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97efc07488190a15f3e41ea2db45c completed April 10, 2026, 10:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7265d09d881909c21423d93af39cd completed May 3, 2026, 10:41 a.m.
NEDg Description generation batch_69f7277a73248190aa59a997d719cab8 completed May 3, 2026, 10:46 a.m.
NED2 Entity disambiguation (via description) batch_69f7281e150081909a92201ceb30b8d6 completed May 3, 2026, 10:49 a.m.
Created at: April 9, 2026, 8:53 p.m.