Triple
T6444511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Simon Baker |
E138306
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Rebecca Rigg
Rebecca Rigg is an Australian actress known for her work in film and television and for her long-term marriage to actor Simon Baker.
|
E611303
|
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: Rebecca Rigg | Statement: [Simon Baker, spouse, Rebecca Rigg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rebecca Rigg Context triple: [Simon Baker, spouse, Rebecca Rigg]
-
A.
Rebecca Yeldham
Rebecca Yeldham is a film producer known for her work on acclaimed independent and international films, including the adaptation of "The Kite Runner."
-
B.
Rebecca Garland
Rebecca Garland is one of the children of Merrick Garland, the U.S. Attorney General and former federal judge.
-
C.
Rebecca Howe
Rebecca Howe is a fictional character on the sitcom "Cheers," known as the ambitious and often neurotic bar manager who replaces Diane Chambers.
-
D.
Rebecca Vest
Rebecca Vest is known as the wife of the late Charles M. Vest, the former president of the Massachusetts Institute of Technology.
-
E.
Saskia Reeves
Saskia Reeves is a British actress known for her work in film, television, and theatre, including roles in series such as "Luther" and numerous acclaimed stage productions.
- 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: Rebecca Rigg Triple: [Simon Baker, spouse, Rebecca Rigg]
Generated description
Rebecca Rigg is an Australian actress known for her work in film and television and for her long-term marriage to actor Simon Baker.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rebecca Rigg Target entity description: Rebecca Rigg is an Australian actress known for her work in film and television and for her long-term marriage to actor Simon Baker.
-
A.
Rebecca Yeldham
Rebecca Yeldham is a film producer known for her work on acclaimed independent and international films, including the adaptation of "The Kite Runner."
-
B.
Rebecca Garland
Rebecca Garland is one of the children of Merrick Garland, the U.S. Attorney General and former federal judge.
-
C.
Rebecca Howe
Rebecca Howe is a fictional character on the sitcom "Cheers," known as the ambitious and often neurotic bar manager who replaces Diane Chambers.
-
D.
Rebecca Vest
Rebecca Vest is known as the wife of the late Charles M. Vest, the former president of the Massachusetts Institute of Technology.
-
E.
Saskia Reeves
Saskia Reeves is a British actress known for her work in film, television, and theatre, including roles in series such as "Luther" and numerous acclaimed stage productions.
- 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_69c008aa61ac8190bc96715ed79fe2d8 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0698c17ec81909f6bbcbe636a67fd |
completed | March 22, 2026, 10:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6f77d46c081908bbbd0be951cb44f |
completed | March 27, 2026, 9:32 p.m. |
| NEDg | Description generation | batch_69c6f8453af88190b237c249bfbb4f8c |
completed | March 27, 2026, 9:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6f8d5630c8190913e8572a70b82c1 |
completed | March 27, 2026, 9:38 p.m. |
Created at: March 22, 2026, 4:46 p.m.