Triple
T8872201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angela |
E211185
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Ángela |
E211185
|
NE FINISHED |
How this triple was built (2 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: Ángela | Statement: [Angela, hasVariant, Ángela]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ángela Context triple: [Angela, hasVariant, Ángela]
-
A.
Angela
Angela is the given name of Angela Merkel, the long-serving former Chancellor of Germany and a prominent European political leader.
-
B.
Angela
"Angela" is a 1995 independent drama film written and directed by Rebecca Miller, exploring the inner world and imagination of a troubled young girl.
-
C.
Angela
Angela is a minor character in the dark comedy crime film "Seven Psychopaths," appearing in the story’s ensemble of eccentric and violent figures.
-
D.
Angela
Angela is a recurring character on the animated sitcom "Family Guy," known as Peter Griffin’s tough, no-nonsense supervisor at the Pawtucket Brewery.
-
E.
Angela
chosen
Angela is a feminine given name commonly used in many cultures, often associated with meanings related to "angel" or "messenger."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca838e78748190934d82db3104f855 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc61281e888190a32b08980310979f |
completed | April 1, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfab9e87cc8190ae3c8c683aa0921e |
completed | April 3, 2026, 11:59 a.m. |
Created at: March 30, 2026, 6:52 p.m.