Triple
T17602056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lady Eden |
E428724
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Clarissa
Clarissa is the given name of Lady Eden, a titled woman likely belonging to the British aristocracy.
|
E1278346
|
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: Clarissa | Statement: [Lady Eden, givenName, Clarissa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clarissa Context triple: [Lady Eden, givenName, Clarissa]
-
A.
Clarissa
Clarissa is the given first name of Clara Barton, the pioneering American nurse and founder of the American Red Cross.
-
B.
Clarissa
Clarissa is a minor but morally reflective character in Alexander Pope’s mock-epic poem "The Rape of the Lock," who delivers a key speech urging Belinda to value virtue over superficial beauty.
-
C.
Clarissa
Clarissa is a character portrayed by American actress Lili Simmons, known for her work in television dramas and thrillers.
-
D.
Clarisa
Clarisa is a feminine given name, typically considered a variant of Clarice or Clarissa.
-
E.
Pamela
Pamela is the given name of Pam Grier, the pioneering American actress celebrated for her iconic roles in 1970s blaxploitation films and later works like "Jackie Brown."
- 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: Clarissa Triple: [Lady Eden, givenName, Clarissa]
Generated description
Clarissa is the given name of Lady Eden, a titled woman likely belonging to the British aristocracy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Clarissa Target entity description: Clarissa is the given name of Lady Eden, a titled woman likely belonging to the British aristocracy.
-
A.
Clarissa
Clarissa is the given first name of Clara Barton, the pioneering American nurse and founder of the American Red Cross.
-
B.
Clarissa
Clarissa is a minor but morally reflective character in Alexander Pope’s mock-epic poem "The Rape of the Lock," who delivers a key speech urging Belinda to value virtue over superficial beauty.
-
C.
Clarissa
Clarissa is a character portrayed by American actress Lili Simmons, known for her work in television dramas and thrillers.
-
D.
Clarisa
Clarisa is a feminine given name, typically considered a variant of Clarice or Clarissa.
-
E.
Pamela
Pamela is the given name of Pam Grier, the pioneering American actress celebrated for her iconic roles in 1970s blaxploitation films and later works like "Jackie Brown."
- 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_69d889e1c6148190ba76241e74688f8b |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46c49dbe081909bd39879c70fe27c |
completed | April 19, 2026, 5:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01e81b951c81908969e6d2f952efc4 |
completed | May 11, 2026, 2:30 p.m. |
| NEDg | Description generation | batch_6a01ef0a9fb48190ac9d38f027ceb728 |
completed | May 11, 2026, 3 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01ef87c62c8190b9a3cd936542d7b4 |
completed | May 11, 2026, 3:02 p.m. |
Created at: April 10, 2026, 5:51 a.m.