Triple
T9701684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lady Caroline Spencer-Churchill |
E234791
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Caroline
Caroline is the given name of Lady Caroline Spencer-Churchill, a British aristocrat from the prominent Spencer-Churchill family.
|
E816380
|
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: Caroline | Statement: [Lady Caroline Spencer-Churchill, givenName, Caroline]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Caroline Context triple: [Lady Caroline Spencer-Churchill, givenName, Caroline]
-
A.
Caroline
Caroline was a British princess of the early 18th century, the daughter of King George II and Queen Caroline of Ansbach.
-
B.
Caroline
Caroline is a feminine given name of French and Latin origin, commonly used in English-speaking and European countries.
-
C.
Caroline
"Caroline" is a breakout hip-hop single by American rapper Aminé, known for its catchy hook and playful storytelling.
-
D.
Caroline
Caroline is a rural town in Tompkins County, New York, known for its small communities, scenic landscapes, and proximity to the city of Ithaca.
-
E.
Caroline
Caroline of Ansbach was an 18th-century Queen consort of Great Britain and Ireland as the wife of King George II, noted for her political influence and patronage of the arts and sciences.
- 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: Caroline Triple: [Lady Caroline Spencer-Churchill, givenName, Caroline]
Generated description
Caroline is the given name of Lady Caroline Spencer-Churchill, a British aristocrat from the prominent Spencer-Churchill family.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Caroline Target entity description: Caroline is the given name of Lady Caroline Spencer-Churchill, a British aristocrat from the prominent Spencer-Churchill family.
-
A.
Caroline
Caroline is a feminine given name of French and Latin origin, commonly used in English-speaking and European countries.
-
B.
Caroline
Caroline was a British princess of the early 18th century, the daughter of King George II and Queen Caroline of Ansbach.
-
C.
Caroline
Caroline of Ansbach was an 18th-century Queen consort of Great Britain and Ireland as the wife of King George II, noted for her political influence and patronage of the arts and sciences.
-
D.
Caroline
Caroline von Humboldt was a German salonnière, art patron, and intellectual known for her influential role in Berlin’s cultural and scholarly life in the early 19th century.
-
E.
Caroline
Caroline is a rural town in Tompkins County, New York, known for its small communities, scenic landscapes, and proximity to the city of Ithaca.
- 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_69ca84cc78808190a56f3402b7c139a7 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9d70f55c8190934f37c25e9d4ba4 |
completed | April 1, 2026, 10:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d19f7cecd0819081929611b7881102 |
completed | April 4, 2026, 11:32 p.m. |
| NEDg | Description generation | batch_69d1a0b4dbf8819097e38c253327fc10 |
completed | April 4, 2026, 11:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1a172ad848190a76f95c4937689d7 |
completed | April 4, 2026, 11:40 p.m. |
Created at: March 30, 2026, 8:18 p.m.