Triple

T1782114
Position Surface form Disambiguated ID Type / Status
Subject Revenge E39311 entity
Predicate mainCharacter P1183 FINISHED
Object Daniel Grayson
Daniel Grayson is a central character in the TV drama "Revenge," known as the wealthy and conflicted heir of the powerful Grayson family.
 E199989 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: Daniel Grayson | Statement: [Revenge, mainCharacter, Daniel Grayson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Daniel Grayson
Context triple: [Revenge, mainCharacter, Daniel Grayson]
  • A. Jeff "Joker" Moreau
    Jeff "Joker" Moreau is the wisecracking, skilled pilot of the Normandy in the Mass Effect video game series.
  • B. Owen Harper
    Owen Harper is a central character in the British sci-fi series "Torchwood," serving as the team's acerbic and brilliant medical officer.
  • C. Roland Caulder
    Roland Caulder is an actor known for his role in the film "The Iron Mask."
  • D. Maxim Knight
    Maxim Knight is an American actor best known for his role as Matt Mason on the science fiction television series "Falling Skies."
  • E. Dorian Sagan
    Dorian Sagan is an American science writer and essayist known for his works on evolution, complexity, and the philosophy of science, often co-authored with his mother, biologist Lynn Margulis.
  • 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: Daniel Grayson
Triple: [Revenge, mainCharacter, Daniel Grayson]
Generated description
Daniel Grayson is a central character in the TV drama "Revenge," known as the wealthy and conflicted heir of the powerful Grayson family.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Daniel Grayson
Target entity description: Daniel Grayson is a central character in the TV drama "Revenge," known as the wealthy and conflicted heir of the powerful Grayson family.
  • A. Jeff "Joker" Moreau
    Jeff "Joker" Moreau is the wisecracking, skilled pilot of the Normandy in the Mass Effect video game series.
  • B. Owen Harper
    Owen Harper is a central character in the British sci-fi series "Torchwood," serving as the team's acerbic and brilliant medical officer.
  • C. Roland Caulder
    Roland Caulder is an actor known for his role in the film "The Iron Mask."
  • D. Maxim Knight
    Maxim Knight is an American actor best known for his role as Matt Mason on the science fiction television series "Falling Skies."
  • E. Dorian Sagan
    Dorian Sagan is an American science writer and essayist known for his works on evolution, complexity, and the philosophy of science, often co-authored with his mother, biologist Lynn Margulis.
  • 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_69a88630519c8190a17addd83c4a3ef4 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa64e34fe881908aa75f2b4141b87b completed March 6, 2026, 5:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada99f52a08190854109d152c22be0 completed March 8, 2026, 4:53 p.m.
NEDg Description generation batch_69adab04b5688190afb3418e9b9da845 completed March 8, 2026, 4:59 p.m.
NED2 Entity disambiguation (via description) batch_69adaeaf81e881908f99f5d948e3557b completed March 8, 2026, 5:15 p.m.
Created at: March 4, 2026, 7:31 p.m.