Triple
T14618977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benjamin Kanes |
E343163
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Kanes
Kanes is a surname most notably associated with American actor and filmmaker Benjamin Kanes.
|
E1110829
|
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: Kanes | Statement: [Benjamin Kanes, familyName, Kanes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kanes Context triple: [Benjamin Kanes, familyName, Kanes]
-
A.
Kanie
Kanie is a small town in central Japan known for its residential communities and proximity to the city of Nagoya in Aichi Prefecture.
-
B.
K’ana
K’ana is an alternative name for Espinar Province, a highland administrative region in the Cusco Department of southern Peru known for its Andean culture and mining activities.
-
C.
Kanije
Kanije is a historic fortress town in present-day southwestern Hungary that was a key strategic stronghold during the Ottoman–Habsburg conflicts.
-
D.
Kan
Kan is a transliteration variant of the title and name "Khan," historically used across Central and South Asia for rulers and nobility.
-
E.
Kan
Kan is the family name of Naoto Kan, a Japanese politician who served as Prime Minister of Japan from 2010 to 2011.
- 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: Kanes Triple: [Benjamin Kanes, familyName, Kanes]
Generated description
Kanes is a surname most notably associated with American actor and filmmaker Benjamin Kanes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kanes Target entity description: Kanes is a surname most notably associated with American actor and filmmaker Benjamin Kanes.
-
A.
Kanie
Kanie is a small town in central Japan known for its residential communities and proximity to the city of Nagoya in Aichi Prefecture.
-
B.
K’ana
K’ana is an alternative name for Espinar Province, a highland administrative region in the Cusco Department of southern Peru known for its Andean culture and mining activities.
-
C.
Kanije
Kanije is a historic fortress town in present-day southwestern Hungary that was a key strategic stronghold during the Ottoman–Habsburg conflicts.
-
D.
Kan
Kan is a transliteration variant of the title and name "Khan," historically used across Central and South Asia for rulers and nobility.
-
E.
Kan
Kan is the family name of Naoto Kan, a Japanese politician who served as Prime Minister of Japan from 2010 to 2011.
- 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_69d822dffc3c8190aa173b90761bffda |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb46550e48190af45f426f02579bb |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda924c7308190931c03fbac57b0bf |
completed | May 8, 2026, 9:13 a.m. |
| NEDg | Description generation | batch_69fdb234bc1c8190a85c802dfcfa7909 |
completed | May 8, 2026, 9:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdb36bd50c8190a8af992fe4b12bb6 |
completed | May 8, 2026, 9:57 a.m. |
Created at: April 10, 2026, 1:25 a.m.