Triple
T11666279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diane Jergens |
E277256
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Jergens
Jergens is a surname most notably associated with American actress Diane Jergens.
|
E939297
|
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: Jergens | Statement: [Diane Jergens, familyName, Jergens]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jergens Context triple: [Diane Jergens, familyName, Jergens]
-
A.
Nivea
Nivea is an American R&B singer best known for her early-2000s hits like "Don't Mess with My Man" and collaborations with prominent hip-hop artists.
-
B.
Garnier
Garnier is a French surname most famously associated with architect Charles Garnier, designer of the Paris Opéra.
-
C.
Kiehl's
Kiehl's is an American skincare and cosmetics brand known for its apothecary-style stores and science-driven formulations.
-
D.
Neutrogena
Neutrogena is a widely recognized skincare and cosmetics brand known for its dermatologist-recommended products, including facial cleansers, moisturizers, sunscreens, and acne treatments.
-
E.
Clinique
Clinique is an American skincare and cosmetics brand known for its dermatologist-developed, fragrance-free products and clinical approach to beauty.
- 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: Jergens Triple: [Diane Jergens, familyName, Jergens]
Generated description
Jergens is a surname most notably associated with American actress Diane Jergens.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jergens Target entity description: Jergens is a surname most notably associated with American actress Diane Jergens.
-
A.
Nivea
Nivea is an American R&B singer best known for her early-2000s hits like "Don't Mess with My Man" and collaborations with prominent hip-hop artists.
-
B.
Garnier
Garnier is a French surname most famously associated with architect Charles Garnier, designer of the Paris Opéra.
-
C.
Kiehl's
Kiehl's is an American skincare and cosmetics brand known for its apothecary-style stores and science-driven formulations.
-
D.
Neutrogena
Neutrogena is a widely recognized skincare and cosmetics brand known for its dermatologist-recommended products, including facial cleansers, moisturizers, sunscreens, and acne treatments.
-
E.
Clinique
Clinique is an American skincare and cosmetics brand known for its dermatologist-developed, fragrance-free products and clinical approach to beauty.
- 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_69d6aafd0a448190b44da30af8c6c519 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a43f438081909da476294a057c38 |
completed | April 10, 2026, 7:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef13a2f1dc8190bb9ca8879ef42e14 |
completed | April 27, 2026, 7:43 a.m. |
| NEDg | Description generation | batch_69ef3550fae881909246cd4cca047a19 |
completed | April 27, 2026, 10:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ef519f95488190b4b5a167aa930133 |
completed | April 27, 2026, 12:08 p.m. |
Created at: April 8, 2026, 9:39 p.m.