Triple
T12589907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angelin Preljocaj |
E300575
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Angelin
Angelin is a French contemporary ballet choreographer and dancer best known for his innovative and often narrative-driven works.
|
E993326
|
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: Angelin | Statement: [Angelin Preljocaj, givenName, Angelin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Angelin Context triple: [Angelin Preljocaj, givenName, Angelin]
-
A.
Angélil
Angélil is the French-origin surname most notably associated with René Angélil, the late Canadian music manager and husband of singer Celine Dion.
-
B.
Angeline
Angeline is the given name of American actress Angie Dickinson, known for her roles in film and television from the 1950s onward.
-
C.
Ainley
Ainley is an English surname most notably associated with actor Anthony Ainley, known for his role as the Master in the classic Doctor Who series.
-
D.
Angella
Angella is a feminine given name, typically considered a variant spelling of Angela.
-
E.
Angourie
Angourie is a small coastal village in New South Wales, Australia, renowned for its surf breaks and scenic beaches.
- 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: Angelin Triple: [Angelin Preljocaj, givenName, Angelin]
Generated description
Angelin is a French contemporary ballet choreographer and dancer best known for his innovative and often narrative-driven works.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Angelin Target entity description: Angelin is a French contemporary ballet choreographer and dancer best known for his innovative and often narrative-driven works.
-
A.
Angélil
Angélil is the French-origin surname most notably associated with René Angélil, the late Canadian music manager and husband of singer Celine Dion.
-
B.
Angeline
Angeline is the given name of American actress Angie Dickinson, known for her roles in film and television from the 1950s onward.
-
C.
Ainley
Ainley is an English surname most notably associated with actor Anthony Ainley, known for his role as the Master in the classic Doctor Who series.
-
D.
Angella
Angella is a feminine given name, typically considered a variant spelling of Angela.
-
E.
Angourie
Angourie is a small coastal village in New South Wales, Australia, renowned for its surf breaks and scenic beaches.
- 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_69d7bde87b648190bcd0266e9efde098 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954bd5e8c8190a2f233b91682341f |
completed | April 10, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65ec0a60c8190948706e8b2fcc0ad |
completed | May 2, 2026, 8:29 p.m. |
| NEDg | Description generation | batch_69f662cc2a208190870e2099a8bb5d04 |
completed | May 2, 2026, 8:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6638319d48190ba73480ce6e91d83 |
completed | May 2, 2026, 8:50 p.m. |
Created at: April 9, 2026, 5:06 p.m.