Triple
T13730274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angélique |
E329776
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Angeliké
Angeliké is a variant spelling of the given name Angélique, a feminine name of French origin derived from the word for "angelic."
|
E1056676
|
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: Angeliké | Statement: [Angélique, hasVariant, Angeliké]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Angeliké Context triple: [Angélique, hasVariant, Angeliké]
-
A.
Angelico
Angelico is an alternative name for the white wine grape variety Muscadelle, used primarily in certain French and Australian wines.
-
B.
Arcángel
Arcángel is a Puerto Rican-American reggaeton and Latin trap singer and songwriter known for his influential role in the urban Latin music scene.
-
C.
Anjo da Guarda
Anjo da Guarda is a Brazilian Christian YouTube channel and online ministry focused on faith-based messages, prayers, and spiritual guidance.
-
D.
Malaika
"Malaika" is a famous Swahili love song popularized internationally by South African singer and activist Miriam Makeba.
-
E.
Al the angel
Al the angel is a humorous, kind-hearted celestial being who helps a struggling baseball team in the family sports fantasy film "Angels in the Outfield."
- 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: Angeliké Triple: [Angélique, hasVariant, Angeliké]
Generated description
Angeliké is a variant spelling of the given name Angélique, a feminine name of French origin derived from the word for "angelic."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Angeliké Target entity description: Angeliké is a variant spelling of the given name Angélique, a feminine name of French origin derived from the word for "angelic."
-
A.
Angelico
Angelico is an alternative name for the white wine grape variety Muscadelle, used primarily in certain French and Australian wines.
-
B.
Arcángel
Arcángel is a Puerto Rican-American reggaeton and Latin trap singer and songwriter known for his influential role in the urban Latin music scene.
-
C.
Anjo da Guarda
Anjo da Guarda is a Brazilian Christian YouTube channel and online ministry focused on faith-based messages, prayers, and spiritual guidance.
-
D.
Malaika
"Malaika" is a famous Swahili love song popularized internationally by South African singer and activist Miriam Makeba.
-
E.
Al the angel
Al the angel is a humorous, kind-hearted celestial being who helps a struggling baseball team in the family sports fantasy film "Angels in the Outfield."
- 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_69d80772315881908f980cae40d91664 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de01f92b588190be97ec4564dddd59 |
completed | April 14, 2026, 8:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d65062c819086a5f7a7ebc45412 |
completed | May 3, 2026, 7:09 p.m. |
| NEDg | Description generation | batch_69f79e1a90408190936cb71e567e10aa |
completed | May 3, 2026, 7:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f79ee74ea48190a4c753b12bb9190e |
completed | May 3, 2026, 7:15 p.m. |
Created at: April 9, 2026, 9:55 p.m.