Triple
T22726705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elliott Erwitt |
E562013
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Erwitt |
—
|
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: Erwitt | Statement: [Elliott Erwitt, familyName, Erwitt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Erwitt Context triple: [Elliott Erwitt, familyName, Erwitt]
-
A.
Erwitt
chosen
Erwitt is the surname of Elliott Erwitt, a renowned American photographer celebrated for his candid and often humorous black-and-white images.
-
B.
Erwitte
Erwitte is a small town in the German state of North Rhine-Westphalia, known for its historic architecture and location in the Soest district.
-
C.
Denau
Denau is a city in southern Uzbekistan known as a regional center near the border with Tajikistan.
-
D.
Worpswede, Germany
Worpswede, Germany is a rural artists’ colony and village in Lower Saxony known for its influential community of painters, sculptors, and writers drawn to its moorland landscape.
-
E.
Neukirchen-Vluyn
Neukirchen-Vluyn is a small town in North Rhine-Westphalia, western Germany, known for its historical roots in coal mining and its location near the Rhine and Ruhr regions.
- 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_69e2454fc984819088213b58ee87a002 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1792a2ee48190bfbdde1a72adfd25 |
completed | April 29, 2026, 3:21 a.m. |
Created at: April 17, 2026, 3:20 p.m.