Triple
T3196660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Page |
E66950
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Robin Page
Robin Page is a notable individual whose name is associated with public recognition or significance in their field.
|
E336990
|
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: Robin Page | Statement: [Page, hasNotableBearer, Robin Page]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robin Page Context triple: [Page, hasNotableBearer, Robin Page]
-
A.
Joanna Page
Joanna Page is a Welsh actress best known for her role as Stacey Shipman in the BBC sitcom "Gavin & Stacey."
-
B.
Jennifer Page
Jennifer Page is a pop singer best known for her late-1990s hit single "Crush."
-
C.
Jayne Rowse
Jayne Rowse is a Michigan nurse and LGBT rights advocate known for challenging the state's same-sex marriage and adoption bans in the landmark DeBoer v. Snyder case.
-
D.
Joanna Pettet
Joanna Pettet is a British actress best known for her film and television work in the 1960s and 1970s, including prominent roles in movies like "Casino Royale" and various popular TV series.
-
E.
Gale Page
Gale Page was an American film and television actress best known for her roles in 1930s and 1940s Hollywood dramas.
- 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: Robin Page Triple: [Page, hasNotableBearer, Robin Page]
Generated description
Robin Page is a notable individual whose name is associated with public recognition or significance in their field.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Robin Page Target entity description: Robin Page is a notable individual whose name is associated with public recognition or significance in their field.
-
A.
Joanna Page
Joanna Page is a Welsh actress best known for her role as Stacey Shipman in the BBC sitcom "Gavin & Stacey."
-
B.
Jennifer Page
Jennifer Page is a pop singer best known for her late-1990s hit single "Crush."
-
C.
Jayne Rowse
Jayne Rowse is a Michigan nurse and LGBT rights advocate known for challenging the state's same-sex marriage and adoption bans in the landmark DeBoer v. Snyder case.
-
D.
Joanna Pettet
Joanna Pettet is a British actress best known for her film and television work in the 1960s and 1970s, including prominent roles in movies like "Casino Royale" and various popular TV series.
-
E.
Gale Page
Gale Page was an American film and television actress best known for her roles in 1930s and 1940s Hollywood dramas.
- 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_69b262181a4c8190b31bbb6bd7bef436 |
completed | March 12, 2026, 6:50 a.m. |
| NEDg | Description generation | batch_69b2638b3b2881909563356ea8a9611c |
completed | March 12, 2026, 6:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b264fb42e4819084c289235f33b654 |
completed | March 12, 2026, 7:02 a.m. |
Created at: March 8, 2026, 3:07 p.m.