Triple
T19555797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thankmar |
E489306
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Thankmar |
—
|
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: Thankmar | Statement: [Thankmar, givenName, Thankmar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thankmar Context triple: [Thankmar, givenName, Thankmar]
-
A.
Thankmar
chosen
Thankmar was a 10th-century German nobleman and the eldest son of King Henry the Fowler, whose disputed legitimacy led to his rebellion against his half-brother Otto I.
-
B.
Gundemar
Gundemar was a 7th-century Visigothic king of Hispania and Septimania who ruled briefly before being succeeded by Sisebut.
-
C.
Adalwolf
Adalwolf is a Germanic given name meaning "noble wolf," from which the name Adolf is derived.
-
D.
Saint Willerich
Saint Willerich was a medieval Christian bishop and saint, known for continuing the missionary and ecclesiastical work established in northern Europe during the early Middle Ages.
-
E.
Willigis
Willigis was a powerful 10th-century German churchman and statesman who rose from humble origins to become one of the most influential political and ecclesiastical figures of the Holy Roman Empire.
- 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63d335f888190abfc5ba974d3c65e |
completed | April 20, 2026, 2:50 p.m. |
Created at: April 10, 2026, 1:42 p.m.