Triple

T21617666
Position Surface form Disambiguated ID Type / Status
Subject Susima E533486 entity
Predicate title P38 FINISHED
Object Prince
Prince is a royal rank typically granted to a male member of a monarchy, often denoting a son or close relative of a king or emperor.
 E79131 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: Prince | Statement: [Susima, title, Prince]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Prince
Context triple: [Susima, title, Prince]
  • A. John
    John is the given name of the late American comedian and actor John Belushi, famed for his work on "Saturday Night Live" and in films like "Animal House" and "The Blues Brothers."
  • B. John
    John McGuinness is a renowned Northern Irish motorcycle road racer best known for his multiple Isle of Man TT victories.
  • C. John
    John is the given name of John Rennie the Younger, a prominent 19th-century British civil engineer known for designing notable bridges and docks.
  • D. John
    John is the given name of John Bacon, an 18th-century English sculptor known for his neoclassical works and prominent monuments.
  • E. John
    John is the given name of John Romero, the influential game designer and programmer best known as a co-creator of the pioneering first-person shooters Doom and Quake.
  • 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: Prince
Triple: [Susima, title, Prince]
Generated description
Prince is a royal rank typically granted to a male member of a monarchy, often denoting a son or close relative of a king or emperor.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Prince
Target entity description: Prince is a royal rank typically granted to a male member of a monarchy, often denoting a son or close relative of a king or emperor.
  • A. Prince
    Prince was an innovative American singer, songwriter, multi-instrumentalist, and producer known for his eclectic musical style, flamboyant stage presence, and profound influence on pop, funk, rock, and R&B music.
  • B. Prince chosen
    Prince is a royal title traditionally granted to male members of a monarchy, often denoting a son or close relative of a king or queen and sometimes a sovereign ruler of a principality.
  • C. Prince
    "Prince" is a notable work associated with Indian actress and writer Nandana Sen, contributing to her recognition in the arts.
  • D. Prince
    Prince is the surname of Eileen Prince, a character in the Harry Potter series who is the mother of Severus Snape.
  • E. John
    John is traditionally regarded as the author of the New Testament’s Book of Revelation, a prophetic and apocalyptic text in Christian scripture.
  • F. None of above.

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_69e0c46411108190bba0d4176dffc9f3 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef3bac4a5c8190919c625c14a54c16 completed April 27, 2026, 10:34 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09fd419ad48190a1a748a377f1a719 completed May 17, 2026, 5:39 p.m.
NEDg Description generation batch_6a09ff300f808190aa3c84c067b290bc completed May 17, 2026, 5:47 p.m.
NED2 Entity disambiguation (via description) batch_6a09ffc0c3f08190a2d386515223ec73 completed May 17, 2026, 5:49 p.m.
Created at: April 16, 2026, 6:34 p.m.