Triple
T20421159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andrea Oberhauser |
E500852
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Andrea |
—
|
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: Andrea | Statement: [Andrea Oberhauser, givenName, Andrea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andrea Context triple: [Andrea Oberhauser, givenName, Andrea]
-
A.
Andrea
Andrea is the given name of the influential Italian Renaissance architect Andrea Palladio, whose classical designs shaped Western architecture.
-
B.
Andrea
"Andrea" is a track from Freddie Gibbs' album "You Only Live 2wice," known for its introspective lyrics and gritty, soulful production.
-
C.
Andrea
Andrea is a performer known for her role in the film "Ransom 2."
-
D.
Andrea
chosen
Andrea is a feminine given name of Greek origin meaning "strong" or "brave," commonly used in many languages and cultures.
-
E.
Andrea
Andrea is a character in the drama film "The Man from Elysian Fields," involved in the story’s exploration of relationships, morality, and the escort business.
- 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_69e0b4aa68fc8190b1a14c55575ef04a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67ba479008190bf6d31ee79f3a401 |
completed | April 20, 2026, 7:16 p.m. |
Created at: April 16, 2026, 11:30 a.m.