Triple
T3023095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Katie Nolan |
E82509
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Laurie Nolan
Laurie Nolan is the child of American sports personality and media host Katie Nolan.
|
E445752
|
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: Laurie Nolan | Statement: [Katie Nolan, child, Laurie Nolan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laurie Nolan Context triple: [Katie Nolan, child, Laurie Nolan]
-
A.
Laurie Holmes
Laurie Holmes is best known as the widow of legendary adult film actor John Holmes and for managing his estate and legacy after his death.
-
B.
Laurie Parker
Laurie Parker is a film producer known for her work on the drama "North Country" and other notable Hollywood projects.
-
C.
Laurie Logue
Laurie Logue is one of the children of Australian speech therapist Lionel Logue, who is renowned for helping King George VI overcome his stammer.
-
D.
Linda Fennimore
Linda Fennimore is an artist best known for creating the cover art for Stephen King’s horror novel "Pet Sematary."
-
E.
Linda Keene
Linda Keene is the wealthy and sophisticated socialite love interest of Fred Astaire’s character in the 1937 musical film "Shall We Dance."
- 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: Laurie Nolan Triple: [Katie Nolan, child, Laurie Nolan]
Generated description
Laurie Nolan is the child of American sports personality and media host Katie Nolan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Laurie Nolan Target entity description: Laurie Nolan is the child of American sports personality and media host Katie Nolan.
-
A.
Laurie Holmes
Laurie Holmes is best known as the widow of legendary adult film actor John Holmes and for managing his estate and legacy after his death.
-
B.
Laurie Parker
Laurie Parker is a film producer known for her work on the drama "North Country" and other notable Hollywood projects.
-
C.
Laurie Logue
Laurie Logue is one of the children of Australian speech therapist Lionel Logue, who is renowned for helping King George VI overcome his stammer.
-
D.
Linda Fennimore
Linda Fennimore is an artist best known for creating the cover art for Stephen King’s horror novel "Pet Sematary."
-
E.
Linda Keene
Linda Keene is the wealthy and sophisticated socialite love interest of Fred Astaire’s character in the 1937 musical film "Shall We Dance."
- 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_69ad8b1fb34081908c1b873e2b7273e1 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9ab8e0a48190ac79e674abd181cf |
completed | March 8, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bb808e7f94819086fbad85d6aed33e |
completed | March 19, 2026, 4:50 a.m. |
| NEDg | Description generation | batch_69bd3a55a4808190b144f6c4ae40593d |
completed | March 20, 2026, 12:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bd3b1d98408190b2c8506281fe8a6b |
completed | March 20, 2026, 12:18 p.m. |
Created at: March 8, 2026, 3 p.m.