Triple
T20236800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jill Arlyn Oppenheim |
E498170
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Oppenheim |
—
|
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: Oppenheim | Statement: [Jill Arlyn Oppenheim, familyName, Oppenheim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oppenheim Context triple: [Jill Arlyn Oppenheim, familyName, Oppenheim]
-
A.
Oppenheim
chosen
Oppenheim is a German-origin surname borne by various notable individuals across fields such as entertainment, finance, and academia.
-
B.
Strasberg
Strasberg is a surname most famously associated with Lee Strasberg, the influential acting teacher and director who popularized method acting in the United States.
-
C.
Godesberg
Godesberg is a historic district in Bonn, Germany, known for its medieval castle ruins and role in regional conflicts such as the Cologne War.
-
D.
Offenbach
Offenbach was a 19th-century German-French composer best known for his pioneering operettas, including "Orpheus in the Underworld" and "La Belle Hélène."
-
E.
Olsberg
Olsberg is a small town in the Hochsauerland region of North Rhine-Westphalia, Germany, known for its scenic location in the Sauerland hills and outdoor recreation opportunities.
- 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_69da6274c58c81909c646eabed6f4f30 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6716a5af0819095ea419a4d1f0d1d |
completed | April 20, 2026, 6:33 p.m. |
Created at: April 11, 2026, 11:40 p.m.