Triple
T19283982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anneke |
E482260
|
entity |
| Predicate | relatedName |
P3889
|
FINISHED |
| Object | Anna |
—
|
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: Anna | Statement: [Anneke, relatedName, Anna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anna Context triple: [Anneke, relatedName, Anna]
-
A.
Anna
"Anna" is a song performed by Harry Styles, known for being part of the setlist on his "Harry Styles: Live on Tour" concert series.
-
B.
Anna
Anna is a character in Giacomo Puccini's early opera-ballet *Le Villi*, which blends elements of romance and the supernatural.
-
C.
Anna
Anna is a central character in Harold Pinter’s play "Old Times," embodying themes of memory, ambiguity, and the shifting nature of personal relationships.
-
D.
Anna
Anna is the given first name of the German Dada artist Hannah Höch, a pioneering figure in photomontage and avant-garde art.
-
E.
Anna
Anna is a supporting character in the biographical film "Can You Ever Forgive Me?", involved in the world of literary forgery surrounding the protagonist.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69d8e8cf61b0819096fe3e4107827c4e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fc0099148190bfec8e8eadc72406 |
completed | April 20, 2026, 10:12 a.m. |
Created at: April 10, 2026, 1:30 p.m.