Triple
T14829583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniel Henney |
E348661
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Henney
Henney is a surname most notably associated with American actor and model Daniel Henney, known for his work in both Hollywood and Korean entertainment industries.
|
E1122248
|
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: Henney | Statement: [Daniel Henney, familyName, Henney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Henney Context triple: [Daniel Henney, familyName, Henney]
-
A.
Hanvey
Hanvey is a surname most notably associated with Scottish politician Neale Hanvey.
-
B.
Manney
Manney is the family name of American stage and film actress Helen Westley.
-
C.
Hendrickson
Hendrickson is a surname of likely English origin, commonly used as a variant of the name Hendricks.
-
D.
Couper
Couper is a surname and variant spelling of Cooper, used by various individuals and families, particularly in English-speaking regions.
-
E.
Henniez
Henniez is a small municipality in the canton of Vaud, Switzerland, best known for its natural mineral water brand of the same name.
- 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: Henney Triple: [Daniel Henney, familyName, Henney]
Generated description
Henney is a surname most notably associated with American actor and model Daniel Henney, known for his work in both Hollywood and Korean entertainment industries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Henney Target entity description: Henney is a surname most notably associated with American actor and model Daniel Henney, known for his work in both Hollywood and Korean entertainment industries.
-
A.
Hanvey
Hanvey is a surname most notably associated with Scottish politician Neale Hanvey.
-
B.
Manney
Manney is the family name of American stage and film actress Helen Westley.
-
C.
Hendrickson
Hendrickson is a surname of likely English origin, commonly used as a variant of the name Hendricks.
-
D.
Couper
Couper is a surname and variant spelling of Cooper, used by various individuals and families, particularly in English-speaking regions.
-
E.
Henniez
Henniez is a small municipality in the canton of Vaud, Switzerland, best known for its natural mineral water brand of the same name.
- 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_69d822ec69008190a9232caa68836872 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded0737d4c8190a49bf6b013da208c |
completed | April 14, 2026, 11:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe38a16fd881909d246d8d1811a673 |
completed | May 8, 2026, 7:25 p.m. |
| NEDg | Description generation | batch_69fe502938dc8190892373403077cfdd |
completed | May 8, 2026, 9:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe509a02c08190bd2171b16584cd64 |
completed | May 8, 2026, 9:07 p.m. |
Created at: April 10, 2026, 1:51 a.m.