Triple
T2922816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reese Witherspoon |
E78770
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Laura Jeanne
Laura Jeanne is the birth name of American actress and producer Reese Witherspoon, known for films like "Legally Blonde" and "Walk the Line."
|
E309498
|
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: Laura Jeanne | Statement: [Reese Witherspoon, givenName, Laura Jeanne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laura Jeanne Context triple: [Reese Witherspoon, givenName, Laura Jeanne]
-
A.
Laura Jennings
Laura Jennings is a film editor best known for her work on major action and science fiction movies, including the Tom Cruise–led blockbuster "Edge of Tomorrow."
-
B.
Juanita Vanoy
Juanita Vanoy is a former model and Chicago-based real estate professional best known as the ex-wife of basketball legend Michael Jordan.
-
C.
Laura Jarrett
Laura Jarrett is an American attorney and journalist known for her work as a legal correspondent on major U.S. news networks.
-
D.
Jacqueline
Jacqueline is a feminine given name most famously borne by former U.S. First Lady Jacqueline Kennedy Onassis.
-
E.
Emily St. Aubert
Emily St. Aubert is the virtuous, sensitive young heroine of Ann Radcliffe’s Gothic novel "The Mysteries of Udolpho," known for her resilience amid terror, loss, and romantic trials.
- 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: Laura Jeanne Triple: [Reese Witherspoon, givenName, Laura Jeanne]
Generated description
Laura Jeanne is the birth name of American actress and producer Reese Witherspoon, known for films like "Legally Blonde" and "Walk the Line."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Laura Jeanne Target entity description: Laura Jeanne is the birth name of American actress and producer Reese Witherspoon, known for films like "Legally Blonde" and "Walk the Line."
-
A.
Laura Jennings
Laura Jennings is a film editor best known for her work on major action and science fiction movies, including the Tom Cruise–led blockbuster "Edge of Tomorrow."
-
B.
Juanita Vanoy
Juanita Vanoy is a former model and Chicago-based real estate professional best known as the ex-wife of basketball legend Michael Jordan.
-
C.
Laura Jarrett
Laura Jarrett is an American attorney and journalist known for her work as a legal correspondent on major U.S. news networks.
-
D.
Jacqueline
Jacqueline is a feminine given name most famously borne by former U.S. First Lady Jacqueline Kennedy Onassis.
-
E.
Emily St. Aubert
Emily St. Aubert is the virtuous, sensitive young heroine of Ann Radcliffe’s Gothic novel "The Mysteries of Udolpho," known for her resilience amid terror, loss, and romantic trials.
- 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_69ad8b0c2ad081909ff87050ae542bb9 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad97bd65ac81909a05ea2bade113d0 |
completed | March 8, 2026, 3:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b056375b5c819081c7d4fd506cbf25 |
completed | March 10, 2026, 5:34 p.m. |
| NEDg | Description generation | batch_69b05f640afc8190bf9b5b90ff7c9b0e |
completed | March 10, 2026, 6:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b06010c1948190a2e13084a79b106b |
completed | March 10, 2026, 6:16 p.m. |
Created at: March 8, 2026, 2:54 p.m.