Triple

T20298217
Position Surface form Disambiguated ID Type / Status
Subject Tutti Frutti E505407 entity
Predicate character P662 FINISHED
Object Vincent Diver
Vincent Diver is a fictional character from the British children's television series "Tutti Frutti."
E1422141 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: Vincent Diver | Statement: [Tutti Frutti, character, Vincent Diver]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vincent Diver
Context triple: [Tutti Frutti, character, Vincent Diver]
  • A. Vincent St. John
    Vincent St. John was a prominent early 20th-century American labor leader and radical organizer, best known for his influential role in militant union movements such as the Industrial Workers of the World.
  • B. Vincent Gray
    Vincent Gray is an American politician who served as the mayor of Washington, D.C., from 2011 to 2015.
  • C. Victor Ashe
    Victor Ashe is an American Republican politician and diplomat who served as mayor of Knoxville, Tennessee, and later as U.S. Ambassador to Poland.
  • D. Paul Durden
    Paul Durden is a Welsh screenwriter best known for co-writing the cult comedy film "Twin Town."
  • E. Hector Blake
    Hector Blake is the central antagonist in the British thriller film "I Came By," portrayed as a seemingly respectable former judge hiding dark and violent secrets.
  • 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: Vincent Diver
Triple: [Tutti Frutti, character, Vincent Diver]
Generated description
Vincent Diver is a fictional character from the British children's television series "Tutti Frutti."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Vincent Diver
Target entity description: Vincent Diver is a fictional character from the British children's television series "Tutti Frutti."
  • A. Vincent St. John
    Vincent St. John was a prominent early 20th-century American labor leader and radical organizer, best known for his influential role in militant union movements such as the Industrial Workers of the World.
  • B. Vincent Gray
    Vincent Gray is an American politician who served as the mayor of Washington, D.C., from 2011 to 2015.
  • C. Victor Ashe
    Victor Ashe is an American Republican politician and diplomat who served as mayor of Knoxville, Tennessee, and later as U.S. Ambassador to Poland.
  • D. Paul Durden
    Paul Durden is a Welsh screenwriter best known for co-writing the cult comedy film "Twin Town."
  • E. Hector Blake
    Hector Blake is the central antagonist in the British thriller film "I Came By," portrayed as a seemingly respectable former judge hiding dark and violent secrets.
  • 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_69e0b4b8ab648190906e18538c250148 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6770a2cec8190912d6b0dbabc78bc completed April 20, 2026, 6:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a085a3493888190bbe6716c6e6ff579 completed May 16, 2026, 11:51 a.m.
NEDg Description generation batch_6a085ab05b708190b69aaeb43aca664e completed May 16, 2026, 11:53 a.m.
NED2 Entity disambiguation (via description) batch_6a085b505a0481909e3f54868b732fc8 completed May 16, 2026, 11:56 a.m.
Created at: April 16, 2026, 11:16 a.m.