Triple
T815281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Librarians (TV series) |
E17639
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Lindy Booth
Lindy Booth is a Canadian actress known for her roles in television series and films, particularly in genre and adventure projects.
|
E264893
|
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: Lindy Booth | Statement: [The Librarians (TV series), starring, Lindy Booth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lindy Booth Context triple: [The Librarians (TV series), starring, Lindy Booth]
-
A.
Connie Booth
Connie Booth is an American-born actress and writer best known for co-writing and starring as Polly in the classic British sitcom "Fawlty Towers."
-
B.
Lyn Davis
Lyn Davis is best known as the wife of influential American television writer and producer Norman Lear.
-
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.
Emily Drinkard
Emily Drinkard, better known as Cissy Houston, is an American soul and gospel singer and the mother of Whitney Houston.
-
E.
Jane Fulks
Jane Fulks is the birth name of Jane Wyman, the Academy Award–winning American actress and first wife of Ronald Reagan.
- 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: Lindy Booth Triple: [The Librarians (TV series), starring, Lindy Booth]
Generated description
Lindy Booth is a Canadian actress known for her roles in television series and films, particularly in genre and adventure projects.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lindy Booth Target entity description: Lindy Booth is a Canadian actress known for her roles in television series and films, particularly in genre and adventure projects.
-
A.
Connie Booth
Connie Booth is an American-born actress and writer best known for co-writing and starring as Polly in the classic British sitcom "Fawlty Towers."
-
B.
Lyn Davis
Lyn Davis is best known as the wife of influential American television writer and producer Norman Lear.
-
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.
Emily Drinkard
Emily Drinkard, better known as Cissy Houston, is an American soul and gospel singer and the mother of Whitney Houston.
-
E.
Jane Fulks
Jane Fulks is the birth name of Jane Wyman, the Academy Award–winning American actress and first wife of Ronald Reagan.
- 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_69a4937bcaac8190a322524ac6f45a5a |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4ab5157b08190b6c8f2fd455f261e |
completed | March 1, 2026, 9:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aebedc55848190a069888fe6088b0a |
completed | March 9, 2026, 12:36 p.m. |
| NEDg | Description generation | batch_69aec2a3f4708190a6c51f28833174e3 |
completed | March 9, 2026, 12:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69aec3626a7081908f1ccef98e9b96be |
completed | March 9, 2026, 12:56 p.m. |
Created at: March 1, 2026, 7:38 p.m.