Triple
T1638065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Millar |
E35402
|
entity |
| Predicate | relatedSurname |
P13741
|
FINISHED |
| Object |
Millner
Millner is an English occupational surname historically associated with people who made or sold hats or millinery goods.
|
E183622
|
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: Millner | Statement: [Millar, relatedSurname, Millner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Millner Context triple: [Millar, relatedSurname, Millner]
-
A.
Menzel
Menzel is the surname of Idina Menzel, the American actress and singer best known for her roles in Broadway musicals and the film "Frozen."
-
B.
Miller
Miller is a common English and Scottish occupational surname historically given to people who worked in grain mills.
-
C.
Blaustein
Blaustein is a municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, situated near the city of Ulm.
-
D.
Müller
Müller is a common German surname, equivalent to "Miller" in English, historically associated with the occupation of operating a mill.
-
E.
Moynier
Moynier is a Swiss surname most notably associated with Gustave Moynier, a co-founder and long-serving president of the International Committee of the Red Cross.
- 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: Millner Triple: [Millar, relatedSurname, Millner]
Generated description
Millner is an English occupational surname historically associated with people who made or sold hats or millinery goods.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Millner Target entity description: Millner is an English occupational surname historically associated with people who made or sold hats or millinery goods.
-
A.
Menzel
Menzel is the surname of Idina Menzel, the American actress and singer best known for her roles in Broadway musicals and the film "Frozen."
-
B.
Miller
Miller is a common English and Scottish occupational surname historically given to people who worked in grain mills.
-
C.
Blaustein
Blaustein is a municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, situated near the city of Ulm.
-
D.
Müller
Müller is a common German surname, equivalent to "Miller" in English, historically associated with the occupation of operating a mill.
-
E.
Moynier
Moynier is a Swiss surname most notably associated with Gustave Moynier, a co-founder and long-serving president of the International Committee of the Red Cross.
- 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_69a88604618c81908b41f6429c431eb6 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa61e142ac8190aa2fbd8f0826b5b2 |
completed | March 6, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad58ddfdbc819096578412818fdfbf |
completed | March 8, 2026, 11:09 a.m. |
| NEDg | Description generation | batch_69ad595841788190a97bbfded30110c5 |
completed | March 8, 2026, 11:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad59f329cc8190814de211fb00c7b8 |
completed | March 8, 2026, 11:13 a.m. |
Created at: March 4, 2026, 7:28 p.m.