Triple

T13538174
Position Surface form Disambiguated ID Type / Status
Subject Julie Ertz E323314 entity
Predicate birthName P65 FINISHED
Object Julie Beth Johnston
Julie Beth Johnston is an American former professional soccer player and two-time FIFA Women's World Cup champion, widely known by her married name Julie Ertz.
E1047925 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: Julie Beth Johnston | Statement: [Julie Ertz, birthName, Julie Beth Johnston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Julie Beth Johnston
Context triple: [Julie Ertz, birthName, Julie Beth Johnston]
  • A. Jackie Lynn
    Jackie Lynn is a fictional outlaw persona and musical project created by experimental singer-songwriter Haley Fohr, blending country, rock, and electronic influences into a concept-driven narrative album.
  • B. Rachel Lapp
    Rachel Lapp is a young Amish widow and mother who becomes entangled with a big-city detective in the 1985 crime thriller film "Witness."
  • C. Molly Smith
    Molly Smith is a daughter of FedEx founder and CEO Frederick W. Smith.
  • D. Molly Smith
    Molly Smith is an American film producer known for her work on acclaimed movies such as the crime thriller "Sicario."
  • E. Kate Burroughs
    Kate Burroughs is the central protagonist of the film "The Four Seasons," around whom the story’s relationships and events revolve.
  • 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: Julie Beth Johnston
Triple: [Julie Ertz, birthName, Julie Beth Johnston]
Generated description
Julie Beth Johnston is an American former professional soccer player and two-time FIFA Women's World Cup champion, widely known by her married name Julie Ertz.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Julie Beth Johnston
Target entity description: Julie Beth Johnston is an American former professional soccer player and two-time FIFA Women's World Cup champion, widely known by her married name Julie Ertz.
  • A. Jackie Lynn
    Jackie Lynn is a fictional outlaw persona and musical project created by experimental singer-songwriter Haley Fohr, blending country, rock, and electronic influences into a concept-driven narrative album.
  • B. Rachel Lapp
    Rachel Lapp is a young Amish widow and mother who becomes entangled with a big-city detective in the 1985 crime thriller film "Witness."
  • C. Molly Smith
    Molly Smith is a daughter of FedEx founder and CEO Frederick W. Smith.
  • D. Molly Smith
    Molly Smith is an American film producer known for her work on acclaimed movies such as the crime thriller "Sicario."
  • E. Kate Burroughs
    Kate Burroughs is the central protagonist of the film "The Four Seasons," around whom the story’s relationships and events revolve.
  • 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_69d8076776248190bdf0d4fa1f85a5fc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafbe39948190808062d4eff91841 completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75d9c04b881908a359df791b89b43 completed May 3, 2026, 2:37 p.m.
NEDg Description generation batch_69f761e020708190a21ad4c0bc11d730 completed May 3, 2026, 2:55 p.m.
NED2 Entity disambiguation (via description) batch_69f765d0f9d88190b91097a359043860 completed May 3, 2026, 3:12 p.m.
Created at: April 9, 2026, 9:45 p.m.