Triple
T4373056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeff Lynne |
E98940
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Lynne
Lynne is the surname of Jeff Lynne, the English musician, songwriter, and producer best known as the leader of Electric Light Orchestra (ELO).
|
E435484
|
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: Lynne | Statement: [Jeff Lynne, familyName, Lynne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lynne Context triple: [Jeff Lynne, familyName, Lynne]
-
A.
Lynn
Lynn is a given name used for people of any gender in English-speaking countries.
-
B.
Lynn
Lynn is a coastal city in northeastern Massachusetts, known as one of the larger urban centers in the Greater Boston metropolitan area.
-
C.
Lianne
Lianne is a central character in Don DeLillo’s novel "Falling Man," depicted as a woman grappling with personal and familial upheaval in the aftermath of the September 11 attacks.
-
D.
Linda
Linda is a feminine given name of Germanic origin that became widely used in English-speaking countries in the 20th century.
-
E.
Linda
Linda is a supporting character in the film "The Pursuit of Happyness," depicted as Chris Gardner’s struggling and increasingly distant partner amid the family’s financial hardships.
- 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: Lynne Triple: [Jeff Lynne, familyName, Lynne]
Generated description
Lynne is the surname of Jeff Lynne, the English musician, songwriter, and producer best known as the leader of Electric Light Orchestra (ELO).
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lynne Target entity description: Lynne is the surname of Jeff Lynne, the English musician, songwriter, and producer best known as the leader of Electric Light Orchestra (ELO).
-
A.
Lynn
Lynn is a given name used for people of any gender in English-speaking countries.
-
B.
Lynn
Lynn is a coastal city in northeastern Massachusetts, known as one of the larger urban centers in the Greater Boston metropolitan area.
-
C.
Lianne
Lianne is a central character in Don DeLillo’s novel "Falling Man," depicted as a woman grappling with personal and familial upheaval in the aftermath of the September 11 attacks.
-
D.
Linda
Linda is a supporting character in the film "The Pursuit of Happyness," depicted as Chris Gardner’s struggling and increasingly distant partner amid the family’s financial hardships.
-
E.
Linda
Linda is a feminine given name of Germanic origin that became widely used in English-speaking countries in the 20th century.
- 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_69b3454db3708190aeafd814413c4c3d |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3521f7d9c81909c9209fe59d20ffd |
completed | March 12, 2026, 11:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5e50ec35481908cf1e1afffda19cb |
completed | March 14, 2026, 10:45 p.m. |
| NEDg | Description generation | batch_69b5e5e96aac819093c43dc355de4509 |
completed | March 14, 2026, 10:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5e6587be88190884f61a7350ce5a9 |
completed | March 14, 2026, 10:51 p.m. |
Created at: March 12, 2026, 11:17 p.m.