Triple
T616744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carole King |
E14420
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Rick Sorenson
Rick Sorenson is known as the former husband of acclaimed American singer-songwriter Carole King.
|
E209084
|
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: Rick Sorenson | Statement: [Carole King, spouse, Rick Sorenson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rick Sorenson Context triple: [Carole King, spouse, Rick Sorenson]
-
A.
Mike Krieger
Mike Krieger is a Brazilian-American entrepreneur and software engineer best known as the co-founder and former CTO of the photo-sharing social media platform Instagram.
-
B.
David Scearce
David Scearce is a Canadian screenwriter best known for adapting Christopher Isherwood’s novel into the acclaimed film "A Single Man."
-
C.
Mike Gunton
Mike Gunton is a British television producer best known for his work on landmark BBC natural history documentaries.
-
D.
Kevin Hageman
Kevin Hageman is an American screenwriter and producer known for his work on animated and family films and television series, including contributions to The Lego Movie franchise.
-
E.
Phil Sellers
Phil Sellers was a standout forward for Rutgers University in the 1970s who became the program’s all-time leading scorer and led the team to the 1976 Final Four.
- 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: Rick Sorenson Triple: [Carole King, spouse, Rick Sorenson]
Generated description
Rick Sorenson is known as the former husband of acclaimed American singer-songwriter Carole King.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rick Sorenson Target entity description: Rick Sorenson is known as the former husband of acclaimed American singer-songwriter Carole King.
-
A.
Mike Krieger
Mike Krieger is a Brazilian-American entrepreneur and software engineer best known as the co-founder and former CTO of the photo-sharing social media platform Instagram.
-
B.
David Scearce
David Scearce is a Canadian screenwriter best known for adapting Christopher Isherwood’s novel into the acclaimed film "A Single Man."
-
C.
Mike Gunton
Mike Gunton is a British television producer best known for his work on landmark BBC natural history documentaries.
-
D.
Kevin Hageman
Kevin Hageman is an American screenwriter and producer known for his work on animated and family films and television series, including contributions to The Lego Movie franchise.
-
E.
Phil Sellers
Phil Sellers was a standout forward for Rutgers University in the 1970s who became the program’s all-time leading scorer and led the team to the 1976 Final Four.
- 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_69a4934b17c881909ace8270e8ddd202 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49e22f3688190a512bec3f0347814 |
completed | March 1, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69addf067d4081909a21fd70831eb01c |
completed | March 8, 2026, 8:41 p.m. |
| NEDg | Description generation | batch_69addf781eac8190b0196f0c4a530a2e |
completed | March 8, 2026, 8:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69addff539408190ac1591e573b8c12b |
completed | March 8, 2026, 8:45 p.m. |
Created at: March 1, 2026, 7:35 p.m.