Triple
T4222239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dixie Chicks |
E94368
|
entity |
| Predicate | hasFormerMember |
P1168
|
FINISHED |
| Object |
Laura Lynch
Laura Lynch is an American musician best known as a founding member and original bassist of the country music group the Dixie Chicks.
|
E453619
|
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: Laura Lynch | Statement: [Dixie Chicks, hasFormerMember, Laura Lynch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laura Lynch Context triple: [Dixie Chicks, hasFormerMember, Laura Lynch]
-
A.
Laura Jarrett
Laura Jarrett is an American attorney and journalist known for her work as a legal correspondent on major U.S. news networks.
-
B.
Kate Lynch
Kate Lynch is a Canadian actress best known for her role in the 1979 comedy film "Meatballs."
-
C.
Jennifer Lynton
Jennifer Lynton is a British film production assistant best known as the longtime second wife of actor Anthony Hopkins.
-
D.
Kimberly Drummond
Kimberly Drummond is a central character on the American sitcom "Diff'rent Strokes," known as the teenage daughter in the wealthy Drummond family who helps bridge the cultural gap with her adopted brothers.
-
E.
Larissa Howard
Larissa Howard is known as the daughter of British military historian and politician Michael Howard.
- 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: Laura Lynch Triple: [Dixie Chicks, hasFormerMember, Laura Lynch]
Generated description
Laura Lynch is an American musician best known as a founding member and original bassist of the country music group the Dixie Chicks.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Laura Lynch Target entity description: Laura Lynch is an American musician best known as a founding member and original bassist of the country music group the Dixie Chicks.
-
A.
Laura Jarrett
Laura Jarrett is an American attorney and journalist known for her work as a legal correspondent on major U.S. news networks.
-
B.
Kate Lynch
Kate Lynch is a Canadian actress best known for her role in the 1979 comedy film "Meatballs."
-
C.
Jennifer Lynton
Jennifer Lynton is a British film production assistant best known as the longtime second wife of actor Anthony Hopkins.
-
D.
Kimberly Drummond
Kimberly Drummond is a central character on the American sitcom "Diff'rent Strokes," known as the teenage daughter in the wealthy Drummond family who helps bridge the cultural gap with her adopted brothers.
-
E.
Larissa Howard
Larissa Howard is known as the daughter of British military historian and politician Michael Howard.
- 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_69b3451997e08190851db4a9a588837d |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b34e0e06d881908e3aa8ef1a90c010 |
completed | March 12, 2026, 11:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdd36a7c9c81908f325bc8a53db0c8 |
completed | March 20, 2026, 11:08 p.m. |
| NEDg | Description generation | batch_69bdd500b0088190abf6c7616a379f5c |
completed | March 20, 2026, 11:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bdd563a7fc8190a7091add8ef0e717 |
completed | March 20, 2026, 11:16 p.m. |
Created at: March 12, 2026, 11:04 p.m.