Triple
T8746546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hendricks |
E207841
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Hendrickson
Hendrickson is a surname of likely English origin, commonly used as a variant of the name Hendricks.
|
E758826
|
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: Hendrickson | Statement: [Hendricks, hasVariant, Hendrickson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hendrickson Context triple: [Hendricks, hasVariant, Hendrickson]
-
A.
Hendrick
Hendrick is a Dutch given name historically borne by figures such as the 17th-century painter Hendrick Cornelisz. van Vliet.
-
B.
Harbison
Harbison is a surname most notably associated with American composer John Harbison, known for his contributions to contemporary classical music.
-
C.
Bickford
Bickford is an English-language surname borne by various notable individuals across fields such as acting, politics, and sports.
-
D.
Bonger
Bonger is a Dutch surname most notably associated with Johanna van Gogh-Bonger, the key figure in preserving and promoting Vincent van Gogh’s artistic legacy.
-
E.
Mathieson
Mathieson is a surname of Scottish origin, typically regarded as a variant of Matheson and derived from a patronymic meaning “son of Matthew.”
- 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: Hendrickson Triple: [Hendricks, hasVariant, Hendrickson]
Generated description
Hendrickson is a surname of likely English origin, commonly used as a variant of the name Hendricks.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hendrickson Target entity description: Hendrickson is a surname of likely English origin, commonly used as a variant of the name Hendricks.
-
A.
Hendrick
Hendrick is a Dutch given name historically borne by figures such as the 17th-century painter Hendrick Cornelisz. van Vliet.
-
B.
Harbison
Harbison is a surname most notably associated with American composer John Harbison, known for his contributions to contemporary classical music.
-
C.
Bickford
Bickford is an English-language surname borne by various notable individuals across fields such as acting, politics, and sports.
-
D.
Bonger
Bonger is a Dutch surname most notably associated with Johanna van Gogh-Bonger, the key figure in preserving and promoting Vincent van Gogh’s artistic legacy.
-
E.
Mathieson
Mathieson is a surname of Scottish origin, typically regarded as a variant of Matheson and derived from a patronymic meaning “son of Matthew.”
- 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_69ca835bb2bc819084bb5906cb6ef7f8 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d75e7c88190a9e78fadb979e1b6 |
completed | March 31, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf6f0524e08190bc5ba6cda2e2e4fa |
completed | April 3, 2026, 7:40 a.m. |
| NEDg | Description generation | batch_69cf7041b6bc81909924d1382b756746 |
completed | April 3, 2026, 7:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf714f22c48190a192c6fc32debfd6 |
completed | April 3, 2026, 7:50 a.m. |
Created at: March 30, 2026, 6:39 p.m.