Triple
T11689282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lance Henriksen |
E277826
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Henriksen
Henriksen is a Norwegian-origin surname borne by various notable individuals, including American actor Lance Henriksen.
|
E940776
|
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: Henriksen | Statement: [Lance Henriksen, familyName, Henriksen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Henriksen Context triple: [Lance Henriksen, familyName, Henriksen]
-
A.
Henrik
Henrik is the given name of the renowned Norwegian mathematician Niels Henrik Abel, known for his pioneering work in algebra and analysis.
-
B.
Karlssen
Karlssen is a Scandinavian-origin surname, likely a patronymic variant related to the more common name Carlson.
-
C.
Jørgen
Jørgen is a Scandinavian male given name, commonly used in Denmark and Norway and related to the name George.
-
D.
Martinsen
Martinsen is a Scandinavian patronymic surname meaning "son of Martin," related to the Spanish surname Martinez.
-
E.
Ole Henriksen
Ole Henriksen is a Danish skincare expert and entrepreneur best known for founding his eponymous skincare brand and popularizing spa-inspired, glow-focused beauty products.
- 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: Henriksen Triple: [Lance Henriksen, familyName, Henriksen]
Generated description
Henriksen is a Norwegian-origin surname borne by various notable individuals, including American actor Lance Henriksen.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Henriksen Target entity description: Henriksen is a Norwegian-origin surname borne by various notable individuals, including American actor Lance Henriksen.
-
A.
Henrik
Henrik is the given name of the renowned Norwegian mathematician Niels Henrik Abel, known for his pioneering work in algebra and analysis.
-
B.
Karlssen
Karlssen is a Scandinavian-origin surname, likely a patronymic variant related to the more common name Carlson.
-
C.
Jørgen
Jørgen is a Scandinavian male given name, commonly used in Denmark and Norway and related to the name George.
-
D.
Martinsen
Martinsen is a Scandinavian patronymic surname meaning "son of Martin," related to the Spanish surname Martinez.
-
E.
Ole Henriksen
Ole Henriksen is a Danish skincare expert and entrepreneur best known for founding his eponymous skincare brand and popularizing spa-inspired, glow-focused beauty products.
- 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_69d6aafe02d881909900d54ad7d4af84 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a478f4c481908b2ba7b70972590d |
completed | April 10, 2026, 7:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef1451b4708190be9aa0439aface7a |
completed | April 27, 2026, 7:46 a.m. |
| NEDg | Description generation | batch_69ef35527f908190b681afdae3aec319 |
completed | April 27, 2026, 10:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ef51ec07ec8190b5cd97cf909388f0 |
completed | April 27, 2026, 12:09 p.m. |
Created at: April 8, 2026, 9:40 p.m.