Triple
T19464679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Levi Strauss |
E486961
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Strauss |
—
|
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: Strauss | Statement: [Levi Strauss, familyName, Strauss]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Strauss Context triple: [Levi Strauss, familyName, Strauss]
-
A.
Strauss
chosen
Strauss is a common German surname borne by numerous notable figures in fields such as music, politics, and literature.
-
B.
J. G. N. Strauss
J. G. N. Strauss was a South African politician who led the United Party during the apartheid era and served as Leader of the Opposition in Parliament.
-
C.
Richard Strauss
Richard Strauss was a prominent late-Romantic and early modern German composer and conductor renowned for his operas, tone poems, and significant influence on 20th-century classical music.
-
D.
Stravinsky
Stravinsky was a top-class American-bred, European-trained sprinter racehorse best known for his dominant Group 1 victories in 1999.
-
E.
Schönberg
Schönberg is a village in the municipality of St. Vith in the German-speaking region of eastern Belgium.
- 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_69d8e8d86d608190bd199a98d0297f27 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e633d0fe3c8190b637f78bfad704d0 |
completed | April 20, 2026, 2:10 p.m. |
Created at: April 10, 2026, 1:39 p.m.