Triple
T6377177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shaggy |
E143493
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Rebecca Packer
Rebecca Packer is known as the wife of Jamaican-American reggae fusion singer and rapper Shaggy.
|
E597466
|
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 Packer | Statement: [Shaggy, spouse, Rebecca Packer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rebecca Packer Context triple: [Shaggy, spouse, Rebecca Packer]
-
A.
Rebecca Cottrell
Rebecca Cottrell is the wife of Stephen Cottrell, the Archbishop of York in the Church of England.
-
B.
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."
-
C.
Rebecca Caine
Rebecca Caine is a Canadian soprano and musical theatre actress best known for her work in productions such as Les Misérables and The Phantom of the Opera.
-
D.
Alice Dainard
Alice Dainard is a central teenage character in the science fiction film "Super 8," known for her emotional depth and involvement in the mysterious events surrounding a catastrophic train crash.
-
E.
Rebecca Giblin
Rebecca Giblin is an Australian legal scholar and advocate specializing in copyright, technology, and creators’ rights, known for her work on how digital platforms affect cultural industries.
- 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 Packer Triple: [Shaggy, spouse, Rebecca Packer]
Generated description
Rebecca Packer is known as the wife of Jamaican-American reggae fusion singer and rapper Shaggy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rebecca Packer Target entity description: Rebecca Packer is known as the wife of Jamaican-American reggae fusion singer and rapper Shaggy.
-
A.
Rebecca Cottrell
Rebecca Cottrell is the wife of Stephen Cottrell, the Archbishop of York in the Church of England.
-
B.
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."
-
C.
Rebecca Caine
Rebecca Caine is a Canadian soprano and musical theatre actress best known for her work in productions such as Les Misérables and The Phantom of the Opera.
-
D.
Alice Dainard
Alice Dainard is a central teenage character in the science fiction film "Super 8," known for her emotional depth and involvement in the mysterious events surrounding a catastrophic train crash.
-
E.
Rebecca Giblin
Rebecca Giblin is an Australian legal scholar and advocate specializing in copyright, technology, and creators’ rights, known for her work on how digital platforms affect cultural industries.
- 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_69c008d9f4348190ab598a2913259a1c |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0683d7af881908d66d5230e1bfcb6 |
completed | March 22, 2026, 10:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c65fc0d90c8190abf85b591e90e292 |
completed | March 27, 2026, 10:45 a.m. |
| NEDg | Description generation | batch_69c660a031188190815abb16f1b00d56 |
completed | March 27, 2026, 10:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c661019b0c8190a804273252033bfc |
completed | March 27, 2026, 10:50 a.m. |
Created at: March 22, 2026, 4:33 p.m.