Triple
T3196643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Page |
E66950
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Peyton Page
Peyton Page is a relatively uncommon personal name that may refer to various individuals rather than a single widely recognized public figure.
|
E336006
|
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: Peyton Page | Statement: [Page, hasNotableBearer, Peyton Page]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peyton Page Context triple: [Page, hasNotableBearer, Peyton Page]
-
A.
Peyton
Peyton is a given name most famously borne by Peyton Randolph, the first president of the Continental Congress in early American history.
-
B.
Payton
Payton is the surname of Sean Payton, a prominent American football coach best known for his long tenure with the New Orleans Saints.
-
C.
Chase Palmer
Chase Palmer is an American screenwriter and filmmaker best known for co-writing the 2017 horror film adaptation of Stephen King’s "It."
-
D.
Bryce James
Bryce James is an American high school basketball player and the younger son of NBA superstar LeBron James.
-
E.
Josh Bryant
Josh Bryant is an American musician and guitarist best known as the husband of Broadway and television star Kristin Chenoweth.
- 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: Peyton Page Triple: [Page, hasNotableBearer, Peyton Page]
Generated description
Peyton Page is a relatively uncommon personal name that may refer to various individuals rather than a single widely recognized public figure.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Peyton Page Target entity description: Peyton Page is a relatively uncommon personal name that may refer to various individuals rather than a single widely recognized public figure.
-
A.
Peyton
Peyton is a given name most famously borne by Peyton Randolph, the first president of the Continental Congress in early American history.
-
B.
Payton
Payton is the surname of Sean Payton, a prominent American football coach best known for his long tenure with the New Orleans Saints.
-
C.
Chase Palmer
Chase Palmer is an American screenwriter and filmmaker best known for co-writing the 2017 horror film adaptation of Stephen King’s "It."
-
D.
Bryce James
Bryce James is an American high school basketball player and the younger son of NBA superstar LeBron James.
-
E.
Josh Bryant
Josh Bryant is an American musician and guitarist best known as the husband of Broadway and television star Kristin Chenoweth.
- 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_69ad8588ba18819086a10951c32ecb80 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada7177b488190b7a1b40ff3fae15f |
completed | March 8, 2026, 4:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b24bb2c9908190b3abc395537e22ac |
completed | March 12, 2026, 5:14 a.m. |
| NEDg | Description generation | batch_69b24cda28308190b33f189b8c7f3c58 |
completed | March 12, 2026, 5:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b24d84f29c819087c15fd3883d6657 |
completed | March 12, 2026, 5:22 a.m. |
Created at: March 8, 2026, 3:07 p.m.