Triple

T19504709
Position Surface form Disambiguated ID Type / Status
Subject Hopper Jack Penn E487990 entity
Predicate familyName P18 FINISHED
Object Penn
Penn is a prominent American family name most famously associated with actor and filmmaker Sean Penn and his relatives in the entertainment industry.
 E1382835 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: Penn | Statement: [Hopper Jack Penn, familyName, Penn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Penn
Context triple: [Hopper Jack Penn, familyName, Penn]
  • A. Penn
    Penn is a private Ivy League research university in Philadelphia known for its strong programs in business, law, medicine, and the liberal arts.
  • B. Penn
    Penn is the stage and given name of Penn Jillette, the outspoken magician, comedian, and half of the famed duo Penn & Teller.
  • C. Penn
    Penn is a 2006 Tamil-language romantic comedy film directed by A. Venkatesh and produced by AVM Productions.
  • D. Penn
    Penn is a picturesque village in Buckinghamshire, England, known for its historic church, traditional Chilterns architecture, and scenic countryside setting.
  • E. Penn
    Penn is the middle name of Robert Penn Warren, the influential American poet, novelist, and first U.S. Poet Laureate.
  • 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: Penn
Triple: [Hopper Jack Penn, familyName, Penn]
Generated description
Penn is a prominent American family name most famously associated with actor and filmmaker Sean Penn and his relatives in the entertainment industry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Penn
Target entity description: Penn is a prominent American family name most famously associated with actor and filmmaker Sean Penn and his relatives in the entertainment industry.
  • A. Penn
    Penn is a private Ivy League research university in Philadelphia known for its strong programs in business, law, medicine, and the liberal arts.
  • B. Penn
    Penn is the stage and given name of Penn Jillette, the outspoken magician, comedian, and half of the famed duo Penn & Teller.
  • C. Penn
    Penn is a 2006 Tamil-language romantic comedy film directed by A. Venkatesh and produced by AVM Productions.
  • D. Penn
    Penn is a picturesque village in Buckinghamshire, England, known for its historic church, traditional Chilterns architecture, and scenic countryside setting.
  • E. Penn
    Penn is the middle name of Robert Penn Warren, the influential American poet, novelist, and first U.S. Poet Laureate.
  • 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_69d8e8d9d1c88190b01cd78b8be49384 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e635105db8819084915dc2d047188d completed April 20, 2026, 2:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a075772ad6881909551e56a27ba75bb completed May 15, 2026, 5:27 p.m.
NEDg Description generation batch_6a07589464088190868707aa1f8f9793 completed May 15, 2026, 5:32 p.m.
NED2 Entity disambiguation (via description) batch_6a0758dc31bc8190858815dc24b04ac4 completed May 15, 2026, 5:33 p.m.
Created at: April 10, 2026, 1:40 p.m.