Triple
T20291702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miriam Angeline Works |
E510041
|
entity |
| Predicate | middleName |
P143
|
FINISHED |
| Object | Angeline |
—
|
NE NERFINISHED |
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: Angeline | Statement: [Miriam Angeline Works, middleName, Angeline]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Angeline Context triple: [Miriam Angeline Works, middleName, Angeline]
-
A.
Angeline
chosen
Angeline is a feminine given name, often considered a variant of Angélique or Angelina, used in various cultures and languages.
-
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.
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.
-
D.
Angela
Angela is the central character of the work "His Own Where," around whom the story’s events and themes revolve.
-
E.
Angela
Angela is the given name of Angela Sarafyan, an Armenian-American actress known for her role as Clementine Pennyfeather in the television series "Westworld."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4c652388190b782cad965e5a098 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e67700c024819091205f5b0a8648e3 |
completed | April 20, 2026, 6:57 p.m. |
Created at: April 16, 2026, 11:12 a.m.