Triple
T2685626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jay Feely |
E57476
|
entity |
| Predicate | hasRelative |
P367
|
FINISHED |
| Object |
Lexi Feely
Lexi Feely is known as the daughter of former NFL placekicker and sports commentator Jay Feely.
|
E300328
|
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: Lexi Feely | Statement: [Jay Feely, hasRelative, Lexi Feely]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lexi Feely Context triple: [Jay Feely, hasRelative, Lexi Feely]
-
A.
Cydney Daly
Cydney Daly is known as the daughter of Hall of Fame NBA coach Chuck Daly.
-
B.
Cassidy Gifford
Cassidy Gifford is an American actress and model known for her roles in film and television and as the daughter of TV personalities Frank and Kathie Lee Gifford.
-
C.
Kelsey Flower
Kelsey Flower is an actor best known for his role in the zombie apocalypse television series "Black Summer."
-
D.
Lacey Pemberton
Lacey Pemberton is a popular high school girl and one of the central characters in John Green’s novel and film adaptation "Paper Towns."
-
E.
Hadley Beeman
Hadley Beeman is a web standards and technology governance expert known for her leadership within the World Wide Web Consortium (W3C) and related digital policy initiatives.
- 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: Lexi Feely Triple: [Jay Feely, hasRelative, Lexi Feely]
Generated description
Lexi Feely is known as the daughter of former NFL placekicker and sports commentator Jay Feely.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lexi Feely Target entity description: Lexi Feely is known as the daughter of former NFL placekicker and sports commentator Jay Feely.
-
A.
Cydney Daly
Cydney Daly is known as the daughter of Hall of Fame NBA coach Chuck Daly.
-
B.
Cassidy Gifford
Cassidy Gifford is an American actress and model known for her roles in film and television and as the daughter of TV personalities Frank and Kathie Lee Gifford.
-
C.
Kelsey Flower
Kelsey Flower is an actor best known for his role in the zombie apocalypse television series "Black Summer."
-
D.
Lacey Pemberton
Lacey Pemberton is a popular high school girl and one of the central characters in John Green’s novel and film adaptation "Paper Towns."
-
E.
Hadley Beeman
Hadley Beeman is a web standards and technology governance expert known for her leadership within the World Wide Web Consortium (W3C) and related digital policy initiatives.
- 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_69ab4a5028388190a36f3baf1588309e |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd9ef2fe0819082bbe746ca682a7e |
completed | March 7, 2026, 7:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc63b76e0819084c4d2bd4a9e6d78 |
completed | March 10, 2026, 7:20 a.m. |
| NEDg | Description generation | batch_69afcaaca2148190b61498e5139d664d |
completed | March 10, 2026, 7:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afcb43e9b88190a99b1bb2e62430da |
completed | March 10, 2026, 7:41 a.m. |
Created at: March 6, 2026, 9:54 p.m.