Triple

T3063817
Position Surface form Disambiguated ID Type / Status
Subject FA Women’s Super League E62056 entity
Predicate notablePlayer P304 FINISHED
Object Lauren Hemp
Lauren Hemp is an English professional footballer and winger renowned for her pace, dribbling, and goal-scoring for Manchester City and the England national team.
E323310 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: Lauren Hemp | Statement: [FA Women’s Super League, notablePlayer, Lauren Hemp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lauren Hemp
Context triple: [FA Women’s Super League, notablePlayer, Lauren Hemp]
  • A. Lauren Nourse
    Lauren Nourse is an Australian former netball player best known for her career with the Queensland Firebirds in the ANZ Championship.
  • B. Holly Bankemper
    Holly Bankemper is an American attorney best known as the wife of former NFL wide receiver and sportscaster Cris Collinsworth.
  • C. Lindsey Weber
    Lindsey Weber is a film and television producer known for her work on major genre projects including the science-fiction blockbuster "Star Trek Beyond."
  • D. Ashley Hurdle
    Ashley Hurdle is known as the daughter of former Major League Baseball manager and player Clint Hurdle.
  • E. Lauren Barber
    Lauren Barber is best known as the wife of English musician and actor Gary Kemp.
  • 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: Lauren Hemp
Triple: [FA Women’s Super League, notablePlayer, Lauren Hemp]
Generated description
Lauren Hemp is an English professional footballer and winger renowned for her pace, dribbling, and goal-scoring for Manchester City and the England national team.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lauren Hemp
Target entity description: Lauren Hemp is an English professional footballer and winger renowned for her pace, dribbling, and goal-scoring for Manchester City and the England national team.
  • A. Lauren Nourse
    Lauren Nourse is an Australian former netball player best known for her career with the Queensland Firebirds in the ANZ Championship.
  • B. Holly Bankemper
    Holly Bankemper is an American attorney best known as the wife of former NFL wide receiver and sportscaster Cris Collinsworth.
  • C. Lindsey Weber
    Lindsey Weber is a film and television producer known for her work on major genre projects including the science-fiction blockbuster "Star Trek Beyond."
  • D. Ashley Hurdle
    Ashley Hurdle is known as the daughter of former Major League Baseball manager and player Clint Hurdle.
  • E. Lauren Barber
    Lauren Barber is best known as the wife of English musician and actor Gary Kemp.
  • 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_69ad85793e5c8190a358049bc4a98d8c completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ad9ea2154c8190ab243feb77170a15 completed March 8, 2026, 4:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1ef118cb48190a1f666ead7c19a12 completed March 11, 2026, 10:39 p.m.
NEDg Description generation batch_69b1f1291670819083866bd4950d4124 completed March 11, 2026, 10:48 p.m.
NED2 Entity disambiguation (via description) batch_69b1f1990be08190bfa83c08323c5d40 completed March 11, 2026, 10:50 p.m.
Created at: March 8, 2026, 3:02 p.m.