Triple
T18553618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leo Steinberg |
E453443
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Steinberg |
—
|
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: Steinberg | Statement: [Leo Steinberg, familyName, Steinberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steinberg Context triple: [Leo Steinberg, familyName, Steinberg]
-
A.
Steinberg
chosen
Steinberg is a German and Ashkenazi Jewish surname borne by numerous notable individuals across fields such as music, art, business, and politics.
-
B.
Steinberg
Steinberg is a locality within the town of Wadern in the Saarland region of Germany.
-
C.
Steinberg
Steinberg is a small settlement in Norway situated along the Drammenselva river, known for its riverside location and local railway station.
-
D.
Steinsberg
Steinsberg is a prominent hill in the Kraichgau region of southwestern Germany, known for the medieval Steinsberg Castle that crowns its summit.
-
E.
DAW
DAW was a United Nations division focused on promoting gender equality and advancing the status and rights of women worldwide.
- 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_69d8d388b0c881908e610a1c45b52640 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e538027b94819082a4c4af66e170d7 |
completed | April 19, 2026, 8:16 p.m. |
Created at: April 10, 2026, 11:38 a.m.