Triple
T11156787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Herbert Plumer |
E263930
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Plumer
Plumer is a surname most notably associated with British field marshal Herbert Plumer, a senior military commander during World War I.
|
E909112
|
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: Plumer | Statement: [Herbert Plumer, familyName, Plumer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Plumer Context triple: [Herbert Plumer, familyName, Plumer]
-
A.
Plumeret
Plumeret was an architect known for designing the iconic Parisian music hall Folies Bergère.
-
B.
Blome
Blome is a German surname borne by various notable individuals across fields such as politics, science, and the arts.
-
C.
Bramble
Bramble is a modern classic gin-based cocktail typically made with lemon juice, sugar syrup, and blackberry liqueur, served over crushed ice.
-
D.
Plum
Plum is the affectionate nickname of P. G. Wodehouse, the celebrated English humorist and creator of the Jeeves and Wooster stories.
-
E.
Plum
Plum is a suburban borough in Allegheny County, Pennsylvania, known for its residential communities and proximity to Pittsburgh.
- 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: Plumer Triple: [Herbert Plumer, familyName, Plumer]
Generated description
Plumer is a surname most notably associated with British field marshal Herbert Plumer, a senior military commander during World War I.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Plumer Target entity description: Plumer is a surname most notably associated with British field marshal Herbert Plumer, a senior military commander during World War I.
-
A.
Plumeret
Plumeret was an architect known for designing the iconic Parisian music hall Folies Bergère.
-
B.
Blome
Blome is a German surname borne by various notable individuals across fields such as politics, science, and the arts.
-
C.
Bramble
Bramble is a modern classic gin-based cocktail typically made with lemon juice, sugar syrup, and blackberry liqueur, served over crushed ice.
-
D.
Plum
Plum is the affectionate nickname of P. G. Wodehouse, the celebrated English humorist and creator of the Jeeves and Wooster stories.
-
E.
Plum
Plum is a suburban borough in Allegheny County, Pennsylvania, known for its residential communities and proximity to Pittsburgh.
- 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_69d6aa9ccddc8190868998c8b7beb060 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8741cd48190b7cc29c6b6bc54ff |
completed | April 9, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e46352e0688190924f15bc7d7ede90 |
completed | April 19, 2026, 5:08 a.m. |
| NEDg | Description generation | batch_69e46c374ca08190a876ee68dea9b821 |
completed | April 19, 2026, 5:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4747bc02c81908f0782cf85667f3f |
completed | April 19, 2026, 6:21 a.m. |
Created at: April 8, 2026, 9:28 p.m.