Triple

T498743
Position Surface form Disambiguated ID Type / Status
Subject Mary Lou Jepsen E10352 entity
Predicate familyName P18 FINISHED
Object Jepsen
Jepsen is a surname most notably associated with individuals such as display technology innovator Mary Lou Jepsen.
 E62016 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: Jepsen | Statement: [Mary Lou Jepsen, familyName, Jepsen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jepsen
Context triple: [Mary Lou Jepsen, familyName, Jepsen]
  • A. Presto
    Presto is a discontinued proprietary browser engine developed by Opera Software that powered older versions of the Opera web browser.
  • B. Bolt Beranek and Newman
    Bolt Beranek and Newman was a pioneering American research and engineering firm best known for its foundational role in developing the ARPANET, a precursor to the modern internet.
  • C. Meraki
    Meraki is a cloud-managed IT company known for its wireless, switching, security, and device management solutions, acquired by and operating as a subsidiary of Cisco.
  • D. Kempner
    Kempner is a surname most notably associated with Karen Kempner Zuckerberg, the mother of Facebook co-founder Mark Zuckerberg.
  • E. Kirkpatrick-Juxta
    Kirkpatrick-Juxta is a place name derived from the settlement of Kirkpatrick, typically referring to a nearby or adjoining locality historically associated with that parish.
  • 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: Jepsen
Triple: [Mary Lou Jepsen, familyName, Jepsen]
Generated description
Jepsen is a surname most notably associated with individuals such as display technology innovator Mary Lou Jepsen.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jepsen
Target entity description: Jepsen is a surname most notably associated with individuals such as display technology innovator Mary Lou Jepsen.
  • A. Presto
    Presto is a discontinued proprietary browser engine developed by Opera Software that powered older versions of the Opera web browser.
  • B. Bolt Beranek and Newman
    Bolt Beranek and Newman was a pioneering American research and engineering firm best known for its foundational role in developing the ARPANET, a precursor to the modern internet.
  • C. Meraki
    Meraki is a cloud-managed IT company known for its wireless, switching, security, and device management solutions, acquired by and operating as a subsidiary of Cisco.
  • D. Kempner
    Kempner is a surname most notably associated with Karen Kempner Zuckerberg, the mother of Facebook co-founder Mark Zuckerberg.
  • E. Kirkpatrick-Juxta
    Kirkpatrick-Juxta is a place name derived from the settlement of Kirkpatrick, typically referring to a nearby or adjoining locality historically associated with that parish.
  • 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_69a2e847df8481909239ec08ccf1e376 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f119b14c8190a5a6b119579c2682 completed Feb. 28, 2026, 1:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69a481efc3a881909575c5981e13a16b completed March 1, 2026, 6:14 p.m.
NEDg Description generation batch_69a48352d91481909fb2119752595927 completed March 1, 2026, 6:20 p.m.
NED2 Entity disambiguation (via description) batch_69a483bb51c48190a0c2d9a3198e0ae2 completed March 1, 2026, 6:21 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.