Triple
T1208753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nourse |
E25949
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Lauren Nourse
Lauren Nourse is an Australian former netball player best known for her career with the Queensland Firebirds in the ANZ Championship.
|
E267188
|
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 Nourse | Statement: [Nourse, hasNotableBearer, Lauren Nourse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lauren Nourse Context triple: [Nourse, hasNotableBearer, Lauren Nourse]
-
A.
Lauren Barber
Lauren Barber is best known as the wife of English musician and actor Gary Kemp.
-
B.
Lauren Cox
Lauren Cox is an American basketball player best known as a standout forward for Baylor University, where she helped lead the Lady Bears to an NCAA championship.
-
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.
Lauren Shehadi
Lauren Shehadi is an American sportscaster best known as an on-air host and reporter for MLB Network’s baseball coverage.
-
E.
Lindsay Allen
Lindsay Allen is an American professional basketball point guard best known for her standout collegiate career leading the University of Notre Dame women’s basketball team and subsequent WNBA play.
- 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 Nourse Triple: [Nourse, hasNotableBearer, Lauren Nourse]
Generated description
Lauren Nourse is an Australian former netball player best known for her career with the Queensland Firebirds in the ANZ Championship.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lauren Nourse Target entity description: Lauren Nourse is an Australian former netball player best known for her career with the Queensland Firebirds in the ANZ Championship.
-
A.
Lauren Barber
Lauren Barber is best known as the wife of English musician and actor Gary Kemp.
-
B.
Lauren Cox
Lauren Cox is an American basketball player best known as a standout forward for Baylor University, where she helped lead the Lady Bears to an NCAA championship.
-
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.
Lauren Shehadi
Lauren Shehadi is an American sportscaster best known as an on-air host and reporter for MLB Network’s baseball coverage.
-
E.
Lindsay Allen
Lindsay Allen is an American professional basketball point guard best known for her standout collegiate career leading the University of Notre Dame women’s basketball team and subsequent WNBA play.
- 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_69a4942b30f08190a91c60573e16b5ef |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bde30ce08190ab60a181ad2d321d |
completed | March 1, 2026, 10:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aef06424f48190bf3604cc342992b6 |
completed | March 9, 2026, 4:08 p.m. |
| NEDg | Description generation | batch_69aef56527308190923fc5394ba2521a |
completed | March 9, 2026, 4:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69aef6450a1c8190ad5a844b31bff220 |
completed | March 9, 2026, 4:33 p.m. |
Created at: March 1, 2026, 7:46 p.m.