Triple
T11761716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gary Moeller |
E279672
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Moeller |
E613831
|
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: Moeller | Statement: [Gary Moeller, familyName, Moeller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moeller Context triple: [Gary Moeller, familyName, Moeller]
-
A.
Moeller
chosen
Moeller is a surname of German origin borne by various notable individuals across fields such as arts, sports, and academia.
-
B.
Müller
Müller is a common German surname, equivalent to "Miller" in English, historically associated with the occupation of operating a mill.
-
C.
Moser
Moser is a Norwegian surname most prominently associated with Nobel Prize–winning neuroscientists May-Britt and Edvard Moser.
-
D.
Mosser
Mosser is a small rural locality in the Allerdale district of Cumbria, England.
-
E.
Meltzer
Meltzer is a surname of Germanic origin borne by various notable individuals across fields such as politics, academia, 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_69d6ab01d2688190ad8ed6bda487eaa5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a52386708190b744746a2db37495 |
completed | April 10, 2026, 7:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f01a4be7c481908deab31f2ee20e0c |
completed | April 28, 2026, 2:24 a.m. |
Created at: April 8, 2026, 9:41 p.m.