Triple

T17910011
Position Surface form Disambiguated ID Type / Status
Subject Steven Universe E447796 entity
Predicate givenName P17 FINISHED
Object Steven
Steven is the main half-human, half-Gem protagonist of the animated television series "Steven Universe," known for his compassion, magical gem powers, and role in protecting Earth.
E1296782 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: Steven | Statement: [Steven Universe, givenName, Steven]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Steven
Context triple: [Steven Universe, givenName, Steven]
  • A. Steven
    Steven is the given name of renowned American filmmaker Steven Spielberg.
  • B. Steven
    Steven is the given first name of former Major League Baseball first baseman and ten-time All-Star Steve Garvey.
  • C. Steven
    Steven is the given name of Steven Shih Chen, the Taiwanese-American internet entrepreneur best known as a co-founder of YouTube.
  • D. Steven
    Steven is the given name of the American stand-up comedian and actor Steven Wright, known for his deadpan delivery and surreal humor.
  • E. Steven
    Steven is the given first name of American film producer and New York Giants co-owner Steve Tisch.
  • 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: Steven
Triple: [Steven Universe, givenName, Steven]
Generated description
Steven is the main half-human, half-Gem protagonist of the animated television series "Steven Universe," known for his compassion, magical gem powers, and role in protecting Earth.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Steven
Target entity description: Steven is the main half-human, half-Gem protagonist of the animated television series "Steven Universe," known for his compassion, magical gem powers, and role in protecting Earth.
  • A. Steven
    Steven is the given name of professional basketball player Steven Adams, a New Zealand-born NBA center known for his physical play and rebounding.
  • B. Steven
    Steven is the given name of Steven Shih Chen, the Taiwanese-American internet entrepreneur best known as a co-founder of YouTube.
  • C. Steven
    Steven is the given name of the American stand-up comedian and actor Steven Wright, known for his deadpan delivery and surreal humor.
  • D. Steven
    Steven is a masculine given name of English origin, often used as a variant of Stephen.
  • E. Steven
    Steven is the given first name of American author and politician Steve King.
  • 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_69d8b9f6d394819082a6d69fd1e23d2f completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49e9f4f888190840c8b55672becf8 completed April 19, 2026, 9:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a03212921308190984eb0b2d90f3d11 completed May 12, 2026, 12:46 p.m.
NEDg Description generation batch_6a032313086c8190b3c6c657a98942c0 completed May 12, 2026, 12:54 p.m.
NED2 Entity disambiguation (via description) batch_6a0323f4a2c48190914075393ab1aca7 completed May 12, 2026, 12:58 p.m.
Created at: April 10, 2026, 10:19 a.m.