Triple
T6840742
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ulrich |
E157565
|
entity |
| Predicate | hasShortForm |
P43
|
FINISHED |
| Object | Ulli |
E157565
|
NE FINISHED |
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: Ulli | Statement: [Ulrich, hasShortForm, Ulli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ulli Context triple: [Ulrich, hasShortForm, Ulli]
-
A.
Uli
Uli is a town in southeastern Nigeria located within Anambra State.
-
B.
Ulrik
Ulrik is a masculine given name of Scandinavian origin, commonly used in countries like Denmark and Norway and related to the German name Ulrich.
-
C.
Ulla
Ulla is the glamorous, Swedish bombshell secretary and aspiring actress character in the musical comedy "The Producers."
-
D.
Rolph
Rolph is a surname most notably associated with James Rolph, a prominent early 20th-century American politician and former mayor of San Francisco and governor of California.
-
E.
Ulrich
chosen
Ulrich is a masculine given name of Germanic origin, commonly used in German-speaking countries and historically borne by nobles, scholars, and religious figures.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c6882c53608190b99aebef079b23bd |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d6b4a1f88190b4f532828697fbd8 |
completed | March 27, 2026, 7:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c74271b9dc8190abbe3b1f9819c38f |
completed | March 28, 2026, 2:52 a.m. |
Created at: March 27, 2026, 2:19 p.m.