Triple
T20120343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clement Mary Hofbauer |
E490588
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Clement |
—
|
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: Clement | Statement: [Clement Mary Hofbauer, givenName, Clement]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clement Context triple: [Clement Mary Hofbauer, givenName, Clement]
-
A.
Clement
chosen
Clement is a given name of Latin origin meaning "merciful" or "gentle," historically borne by several popes and saints.
-
B.
Nicola
Nicola is a character in George Bernard Shaw's play "Arms and the Man," serving as a practical and opportunistic servant who contrasts with the more romantic ideals of the other characters.
-
C.
Nicola
Nicola is a given name used in various European languages, often as a variant of Nicholas.
-
D.
Livio
Livio is an Italian masculine given name of Latin origin, commonly used in Italy and other Romance-language countries.
-
E.
Sisto
Sisto is the surname of American actor Jeremy Sisto, known for his roles in film and television series such as "Six Feet Under" and "Suburgatory."
- 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_69da62636cc08190982cc71733a17b8d |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6673cfaac81909d6216f3e37c2439 |
completed | April 20, 2026, 5:49 p.m. |
Created at: April 11, 2026, 11:30 p.m.