Triple
T16071467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harvey Kuenn |
E389872
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Kuenn
Kuenn is a surname most notably associated with Harvey Kuenn, an American Major League Baseball player and manager.
|
E1192976
|
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: Kuenn | Statement: [Harvey Kuenn, familyName, Kuenn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kuenn Context triple: [Harvey Kuenn, familyName, Kuenn]
-
A.
Ku
Ku is a principal Hawaiian god associated with war, politics, and prosperity, widely venerated in traditional Native Hawaiian religion.
-
B.
Koubia
Koubia is a town in the Middle Guinea region of Guinea that serves as an important local administrative and commercial center.
-
C.
Kagee
Kagee is the former name of Chiayi City, a historic urban center in southwestern Taiwan.
-
D.
Koja
Koja is a coastal district in North Jakarta, Indonesia, known for its dense urban neighborhoods and proximity to the city’s port and industrial areas.
-
E.
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.
- 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: Kuenn Triple: [Harvey Kuenn, familyName, Kuenn]
Generated description
Kuenn is a surname most notably associated with Harvey Kuenn, an American Major League Baseball player and manager.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kuenn Target entity description: Kuenn is a surname most notably associated with Harvey Kuenn, an American Major League Baseball player and manager.
-
A.
Ku
Ku is a principal Hawaiian god associated with war, politics, and prosperity, widely venerated in traditional Native Hawaiian religion.
-
B.
Koubia
Koubia is a town in the Middle Guinea region of Guinea that serves as an important local administrative and commercial center.
-
C.
Kagee
Kagee is the former name of Chiayi City, a historic urban center in southwestern Taiwan.
-
D.
Koja
Koja is a coastal district in North Jakarta, Indonesia, known for its dense urban neighborhoods and proximity to the city’s port and industrial areas.
-
E.
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.
- 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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e183be909c8190ac6c37ab047151ae |
completed | April 17, 2026, 12:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffe4827cd48190aa470c6537e72508 |
completed | May 10, 2026, 1:50 a.m. |
| NEDg | Description generation | batch_69ffe6c956a48190845faac983b9a064 |
completed | May 10, 2026, 2 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffe7387b38819094e55ae14ec2c036 |
completed | May 10, 2026, 2:02 a.m. |
Created at: April 10, 2026, 4:57 a.m.