Triple
T4409295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lowry |
E94810
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Tanya Lowry
Tanya Lowry is a person notable enough to be recognized as a bearer of the surname Lowry, though specific widely known public details about her are not clearly established.
|
E444979
|
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: Tanya Lowry | Statement: [Lowry, hasNotableBearer, Tanya Lowry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tanya Lowry Context triple: [Lowry, hasNotableBearer, Tanya Lowry]
-
A.
Lorrie Marlow
Lorrie Marlow is known as the spouse of American actor and producer Robert Hooks.
-
B.
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.
-
C.
Maryanne Vollers
Maryanne Vollers is an American author, journalist, and ghostwriter known for collaborating on high-profile political and human rights memoirs.
-
D.
Jayne Posner
Jayne Posner is best known as the first wife of American singer-songwriter Neil Diamond.
-
E.
Laura Mennell
Laura Mennell is a Canadian actress known for her roles in science fiction and fantasy film and television, including appearances in projects like Watchmen and the series Alphas.
- 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: Tanya Lowry Triple: [Lowry, hasNotableBearer, Tanya Lowry]
Generated description
Tanya Lowry is a person notable enough to be recognized as a bearer of the surname Lowry, though specific widely known public details about her are not clearly established.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tanya Lowry Target entity description: Tanya Lowry is a person notable enough to be recognized as a bearer of the surname Lowry, though specific widely known public details about her are not clearly established.
-
A.
Lorrie Marlow
Lorrie Marlow is known as the spouse of American actor and producer Robert Hooks.
-
B.
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.
-
C.
Maryanne Vollers
Maryanne Vollers is an American author, journalist, and ghostwriter known for collaborating on high-profile political and human rights memoirs.
-
D.
Jayne Posner
Jayne Posner is best known as the first wife of American singer-songwriter Neil Diamond.
-
E.
Laura Mennell
Laura Mennell is a Canadian actress known for her roles in science fiction and fantasy film and television, including appearances in projects like Watchmen and the series Alphas.
- 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_69b34539638c8190abfea3eb29425210 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3548e24d08190a38c0bcd4b6ad571 |
completed | March 13, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b672218c1c8190adbb3c044b648e7e |
completed | March 15, 2026, 8:47 a.m. |
| NEDg | Description generation | batch_69b672a0bfe88190b7b915fbeb104435 |
completed | March 15, 2026, 8:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b672ea8fcc8190bf56f4bf8180b28d |
completed | March 15, 2026, 8:50 a.m. |
Created at: March 12, 2026, 11:28 p.m.