Triple
T13508099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tucker Tooley |
E321063
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Victoria Tooley
Victoria Tooley is known as the wife of American film producer and executive Tucker Tooley.
|
E1045643
|
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: Victoria Tooley | Statement: [Tucker Tooley, spouse, Victoria Tooley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Victoria Tooley Context triple: [Tucker Tooley, spouse, Victoria Tooley]
-
A.
Rachel Stevens
Rachel Stevens is an English singer, actress, and television personality best known as a member of the pop group S Club 7 and for her subsequent solo music career.
-
B.
Lisa Baird
Lisa Baird is an American sports executive who served as commissioner of the National Women's Soccer League (NWSL).
-
C.
Emily Lloyd
Emily Lloyd is a British actress best known for her acclaimed breakthrough role in the 1987 film "Wish You Were Here."
-
D.
Gillian Foster
Gillian Foster is a central character in the TV series "Lie to Me," a psychologist and partner in the deception-detection firm Lightman Group.
-
E.
Cynthia Millar
Cynthia Millar is a British composer and ondes Martenot specialist known for her work on numerous film and television scores.
- 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: Victoria Tooley Triple: [Tucker Tooley, spouse, Victoria Tooley]
Generated description
Victoria Tooley is known as the wife of American film producer and executive Tucker Tooley.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Victoria Tooley Target entity description: Victoria Tooley is known as the wife of American film producer and executive Tucker Tooley.
-
A.
Rachel Stevens
Rachel Stevens is an English singer, actress, and television personality best known as a member of the pop group S Club 7 and for her subsequent solo music career.
-
B.
Lisa Baird
Lisa Baird is an American sports executive who served as commissioner of the National Women's Soccer League (NWSL).
-
C.
Emily Lloyd
Emily Lloyd is a British actress best known for her acclaimed breakthrough role in the 1987 film "Wish You Were Here."
-
D.
Gillian Foster
Gillian Foster is a central character in the TV series "Lie to Me," a psychologist and partner in the deception-detection firm Lightman Group.
-
E.
Cynthia Millar
Cynthia Millar is a British composer and ondes Martenot specialist known for her work on numerous film and television scores.
- 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_69d807629d6c8190998f1b9bb12d2ed0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf85a74081909eb08751fc55ce8f |
completed | April 12, 2026, 2:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7548e51b881909a3384812556bc3d |
completed | May 3, 2026, 1:58 p.m. |
| NEDg | Description generation | batch_69f757108e088190aeec031eccc9aca3 |
completed | May 3, 2026, 2:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f757e7322c8190b0e36e8373d42ac4 |
completed | May 3, 2026, 2:12 p.m. |
Created at: April 9, 2026, 9:43 p.m.