Triple
T8536975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Milles |
E202101
|
entity |
| Predicate | hasRelatedSurname |
P3889
|
FINISHED |
| Object |
Milles-Lade
Milles-Lade is an English compound surname that combines the family names Milles and Lade, typically indicating lineage or connection to both families.
|
E740829
|
NE FINISHED |
How this triple was built (4 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: Milles-Lade | Statement: [Milles, hasRelatedSurname, Milles-Lade]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Milles-Lade Context triple: [Milles, hasRelatedSurname, Milles-Lade]
-
A.
Milles
Milles is a surname and variant of "Mills" that appears in English-speaking contexts.
-
B.
Melle
Melle is a town in Lower Saxony, Germany, known for its rural character, historical architecture, and role as a regional economic center.
-
C.
Molat
Molat is a small Croatian island in the Adriatic Sea, known for its tranquil villages, clear waters, and relatively untouched natural landscapes within Zadar County.
-
D.
Durolle
Durolle is a river in central France that flows through the town of Thiers, historically powering its renowned cutlery and knife-making industry.
-
E.
Meyronnes
Meyronnes is a small mountain commune in southeastern France, situated in the Alps near the Italian border within the Ubaye Valley.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Milles-Lade Triple: [Milles, hasRelatedSurname, Milles-Lade]
Generated description
Milles-Lade is an English compound surname that combines the family names Milles and Lade, typically indicating lineage or connection to both families.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Milles-Lade Target entity description: Milles-Lade is an English compound surname that combines the family names Milles and Lade, typically indicating lineage or connection to both families.
-
A.
Milles
Milles is a surname and variant of "Mills" that appears in English-speaking contexts.
-
B.
Melle
Melle is a town in Lower Saxony, Germany, known for its rural character, historical architecture, and role as a regional economic center.
-
C.
Molat
Molat is a small Croatian island in the Adriatic Sea, known for its tranquil villages, clear waters, and relatively untouched natural landscapes within Zadar County.
-
D.
Durolle
Durolle is a river in central France that flows through the town of Thiers, historically powering its renowned cutlery and knife-making industry.
-
E.
Meyronnes
Meyronnes is a small mountain commune in southeastern France, situated in the Alps near the Italian border within the Ubaye Valley.
- F. None of above. chosen
Provenance (5 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_69ca832355b08190b8b6a4ab4a4a3554 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe6a3f024819095d560a205ff1c75 |
completed | March 31, 2026, 3:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6d8c666881908785079f059f88c8 |
completed | April 2, 2026, 1:22 p.m. |
| NEDg | Description generation | batch_69ce6ec2d6608190a7732e999a05d565 |
completed | April 2, 2026, 1:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce6f7948cc8190b8248e59044cf4fb |
completed | April 2, 2026, 1:30 p.m. |
Created at: March 30, 2026, 6:18 p.m.