Triple
T18883628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mauger, Count of Troina |
E461896
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Mauger |
—
|
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: Mauger | Statement: [Mauger, Count of Troina, givenName, Mauger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mauger Context triple: [Mauger, Count of Troina, givenName, Mauger]
-
A.
Mauger
chosen
Mauger was a Norman nobleman of the Hauteville family, known as one of the lesser-documented members of the influential dynasty that played a key role in the conquest and governance of southern Italy and Sicily in the 11th century.
-
B.
Megarus
Megarus is a lesser-known figure in Greek mythology, recognized as one of the many sons of the chief Olympian god Zeus.
-
C.
Mordo
Mordo is a powerful sorcerer and frequent adversary of Doctor Strange in Marvel Comics, often portrayed as a former ally turned villain.
-
D.
Minkus
Minkus is a surname most notably associated with Ludwig Minkus, the 19th-century composer renowned for his influential ballet music.
-
E.
Mugatu
Mugatu is the flamboyant, villainous fashion designer portrayed by Will Ferrell in the comedy film "Zoolander."
- 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_69d8dcfc3430819095ee6fc0eb4c06a5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c3d3dcec8190a468162c6a4482f6 |
completed | April 20, 2026, 6:12 a.m. |
Created at: April 10, 2026, 11:57 a.m.