Triple
T8986673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Josh Lucas |
E214684
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Maurer |
E162119
|
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: Maurer | Statement: [Josh Lucas, familyName, Maurer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maurer Context triple: [Josh Lucas, familyName, Maurer]
-
A.
Maurer
chosen
Maurer is a German-language surname common in Switzerland, Germany, and Austria, borne by various notable figures in politics, sports, and the arts.
-
B.
Mauger
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.
-
C.
Masson
Masson is a French surname borne by various notable individuals across fields such as winemaking, literature, and the arts.
-
D.
Maur
Maur is a municipality in the canton of Zürich in Switzerland, located on the northeastern shore of Lake Greifen and known for its residential character and natural surroundings.
-
E.
Morgenstern
Morgenstern is a German surname borne by various notable figures in fields such as economics, literature, and the arts.
- 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_69ca839f76bc8190a4b7123cdd682199 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc67ef19108190ac518c4f744b6d60 |
completed | April 1, 2026, 12:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfd0bdb05c8190bb1fb5f0272a450a |
completed | April 3, 2026, 2:37 p.m. |
Created at: March 30, 2026, 7:04 p.m.