Triple
T10585010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reagan |
E249832
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Raegan
Raegan is a given name, typically a modern variant of the name Reagan, used for both girls and boys.
|
E873771
|
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: Raegan | Statement: [Reagan, hasVariant, Raegan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Raegan Context triple: [Reagan, hasVariant, Raegan]
-
A.
Regan
Regan is one of King Lear’s daughters in Shakespeare’s tragedy, known for her cruelty, ambition, and betrayal.
-
B.
Regan
Regan is a surname most notably associated with Michael S. Regan, the American environmental regulator and current Administrator of the U.S. Environmental Protection Agency.
-
C.
Sarah
Sarah is the central protagonist of the story "Horse Girl," around whom the main narrative and character development revolve.
-
D.
Sarah
Sarah is a member of the 2nd Massachusetts Militia Regiment, a historical military unit associated with the state of Massachusetts.
-
E.
Sarah
Sarah, Duchess of York is a British author, media personality, and former member of the British royal family who was previously married to Prince Andrew, Duke of York.
- 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: Raegan Triple: [Reagan, hasVariant, Raegan]
Generated description
Raegan is a given name, typically a modern variant of the name Reagan, used for both girls and boys.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Raegan Target entity description: Raegan is a given name, typically a modern variant of the name Reagan, used for both girls and boys.
-
A.
Regan
Regan is one of King Lear’s daughters in Shakespeare’s tragedy, known for her cruelty, ambition, and betrayal.
-
B.
Regan
Regan is a surname most notably associated with Michael S. Regan, the American environmental regulator and current Administrator of the U.S. Environmental Protection Agency.
-
C.
Sarah
Sarah is the central protagonist of the story "Horse Girl," around whom the main narrative and character development revolve.
-
D.
Sarah
Sarah is a member of the 2nd Massachusetts Militia Regiment, a historical military unit associated with the state of Massachusetts.
-
E.
Sarah
Sarah, Duchess of York is a British author, media personality, and former member of the British royal family who was previously married to Prince Andrew, Duke of York.
- 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_69d381c9d3d48190a29ee491e1696a0e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d52768da9c8190add1db88bf2e16ea |
completed | April 7, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d95e7df88081908e3d77f357f176e3 |
completed | April 10, 2026, 8:33 p.m. |
| NEDg | Description generation | batch_69d95f97669881908b54ebcd1a7c6b34 |
completed | April 10, 2026, 8:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d9602748608190b0c971accf44b7aa |
completed | April 10, 2026, 8:40 p.m. |
Created at: April 6, 2026, 12:39 p.m.