Triple
T10798723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Denis Rooke |
E254779
|
entity |
| Predicate | hasFamilyName |
P18
|
FINISHED |
| Object |
Rooke
Rooke is a surname of English origin borne by various notable individuals across fields such as engineering, the military, and the arts.
|
E885706
|
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: Rooke | Statement: [Denis Rooke, hasFamilyName, Rooke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rooke Context triple: [Denis Rooke, hasFamilyName, Rooke]
-
A.
Crowel
Crowel is an alternative spelling of the surname Crowell, which is of English origin.
-
B.
Rolfe
Rolfe is a reflective and often skeptical character in Herman Melville’s epic poem "Clarel," serving as one of the key voices in the work’s philosophical and religious debates.
-
C.
Roddi
Roddi is a municipality in Italy’s Piedmont region, known for its location within the renowned Barolo wine-producing area.
-
D.
Rowland
Rowland is the given name of R. H. Macy, the 19th-century American businessman who founded the Macy's department store chain.
-
E.
Rowland
Rowland is the namesake of the Jonsson-Rowland Science Center, likely a notable figure in science or education commemorated by the institution.
- 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: Rooke Triple: [Denis Rooke, hasFamilyName, Rooke]
Generated description
Rooke is a surname of English origin borne by various notable individuals across fields such as engineering, the military, and the arts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rooke Target entity description: Rooke is a surname of English origin borne by various notable individuals across fields such as engineering, the military, and the arts.
-
A.
Crowel
Crowel is an alternative spelling of the surname Crowell, which is of English origin.
-
B.
Rolfe
Rolfe is a reflective and often skeptical character in Herman Melville’s epic poem "Clarel," serving as one of the key voices in the work’s philosophical and religious debates.
-
C.
Roddi
Roddi is a municipality in Italy’s Piedmont region, known for its location within the renowned Barolo wine-producing area.
-
D.
Rowland
Rowland is the given name of R. H. Macy, the 19th-century American businessman who founded the Macy's department store chain.
-
E.
Rowland
Rowland is the namesake of the Jonsson-Rowland Science Center, likely a notable figure in science or education commemorated by the institution.
- 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_69d6aa61c15c8190a1839550c56e75e1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d73334feb08190aae967eaa37659f7 |
completed | April 9, 2026, 5:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de566352608190ab15e3a4b690c9a5 |
completed | April 14, 2026, 2:59 p.m. |
| NEDg | Description generation | batch_69de5eae7ab88190a0c512cfe61e3458 |
completed | April 14, 2026, 3:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69de60907e1081908405b6d71adbd388 |
completed | April 14, 2026, 3:43 p.m. |
Created at: April 8, 2026, 9:17 p.m.