Triple

T19386610
Position Surface form Disambiguated ID Type / Status
Subject Ben Whishaw E484952 entity
Predicate givenName P17 FINISHED
Object Benjamin
Benjamin is the given first name of English actor Ben Whishaw, known for his versatile performances in film, television, and theatre.
E1373067 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: Benjamin | Statement: [Ben Whishaw, givenName, Benjamin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Benjamin
Context triple: [Ben Whishaw, givenName, Benjamin]
  • A. Benjamin
    Benjamin is one of the twelve tribes of Israel, traditionally descended from Jacob’s youngest son and often associated with valor in battle and a favored status in biblical narratives.
  • B. Benjamin
    Benjamin is the birth name of American comedian, actor, and radio and television star Jack Benny.
  • C. Benjamin
    Benjamin is the first name of the fictional surgeon Hawkeye Pierce from the television series M*A*S*H.
  • D. Benjamin
    Benjamin is the middle name of the American abolitionist, reformer, and biographer Franklin Benjamin Sanborn.
  • E. Benjamin
    Benjamin was a Russian Orthodox metropolitan of Petrograd who became known as a New Martyr after his execution by the Bolsheviks in 1922.
  • 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: Benjamin
Triple: [Ben Whishaw, givenName, Benjamin]
Generated description
Benjamin is the given first name of English actor Ben Whishaw, known for his versatile performances in film, television, and theatre.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Benjamin
Target entity description: Benjamin is the given first name of English actor Ben Whishaw, known for his versatile performances in film, television, and theatre.
  • A. Benjamin
    Benjamin is the given first name of Australian actor Ben Mendelsohn, known for his versatile roles in film and television.
  • B. Benjamin
    Benjamin is the first name of American actor, comedian, and filmmaker Ben Falcone, known for his frequent collaborations with Melissa McCarthy.
  • C. Benjamin
    Benjamin is the given name of Benjamin Clémentine, the English artist known for his work as a singer, songwriter, and poet.
  • D. Benjamin
    Benjamin is the full given name of the English playwright and poet Ben Jonson, a major literary figure of the early 17th century.
  • E. Benjamin
    Benjamin is the given first name of the American film producer and studio executive B. P. Schulberg.
  • 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_69d8e8d460d88190abf0591c5c9d2b0c completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e61b40d1148190b4fcd9ad56aa6910 completed April 20, 2026, 12:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a072b82d6008190b26d95f4356afe5c completed May 15, 2026, 2:19 p.m.
NEDg Description generation batch_6a072c5c67d48190a393eef73abb8aba completed May 15, 2026, 2:23 p.m.
NED2 Entity disambiguation (via description) batch_6a072ccebb388190b48c181017d95290 completed May 15, 2026, 2:25 p.m.
Created at: April 10, 2026, 1:35 p.m.