Triple
T22328441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charlotte Smith |
E551962
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Charlotte
Charlotte is a feminine given name of French origin that has been widely used in English-speaking countries and beyond.
|
E230414
|
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: Charlotte | Statement: [Charlotte Smith, givenName, Charlotte]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charlotte Context triple: [Charlotte Smith, givenName, Charlotte]
-
A.
Charlotte
Charlotte is a prominent American professional wrestler best known for her championship success in WWE and for being the daughter of wrestling legend Ric Flair.
-
B.
Charlotte
Charlotte is a major city in North Carolina known as a financial hub and home to numerous universities and corporate campuses.
-
C.
Charlotte
Charlotte is a major city in North Carolina known for its financial industry, rapid growth, and cultural institutions.
-
D.
Charlotte
Charlotte is the largest city in North Carolina, known as a major U.S. financial hub and home to several professional and collegiate sports teams.
-
E.
Charlotte
Charlotte is a royal figure bearing the traditional title of Princess Royal, historically associated with the eldest daughter of the British monarch.
- 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: Charlotte Triple: [Charlotte Smith, givenName, Charlotte]
Generated description
Charlotte is a feminine given name of French origin that has been widely used in English-speaking countries and beyond.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Charlotte Target entity description: Charlotte is a feminine given name of French origin that has been widely used in English-speaking countries and beyond.
-
A.
Charlotte
chosen
Charlotte is a feminine given name of French and English origin, traditionally used as the female form of Charles and borne by numerous queens, nobles, and notable figures.
-
B.
Charlotte
Charlotte is a royal figure bearing the traditional title of Princess Royal, historically associated with the eldest daughter of the British monarch.
-
C.
Charlotte
Charlotte is a prominent American professional wrestler best known for her championship success in WWE and for being the daughter of wrestling legend Ric Flair.
-
D.
Charlotte
Charlotte is a major city in North Carolina known as a financial hub and home to numerous universities and corporate campuses.
-
E.
Charlotte
Charlotte is a major city in North Carolina known for its financial industry, rapid growth, and cultural institutions.
- F. None of above.
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_69e11e482f788190b78d1588fc26d606 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15769fdb48190b84e0c019ab63579 |
completed | April 29, 2026, 12:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ae04bbb38819086a34a78d363e0d8 |
completed | May 18, 2026, 9:47 a.m. |
| NEDg | Description generation | batch_6a0ae265b1208190bd34e76612097449 |
completed | May 18, 2026, 9:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ae310d6588190ab55793ba55ce7ec |
completed | May 18, 2026, 9:59 a.m. |
Created at: April 16, 2026, 8:43 p.m.