Triple
T11666277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diane Jergens |
E277256
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Diane Jergens |
E277256
|
NE FINISHED |
How this triple was built (2 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: Diane Jergens | Statement: [Diane Jergens, name, Diane Jergens]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Diane Jergens Context triple: [Diane Jergens, name, Diane Jergens]
-
A.
Diane Jergens
chosen
Diane Jergens was an American film and television actress active in the 1950s and 1960s, known for her roles in teen and drama films.
-
B.
Jane Lauder
Jane Lauder is an American business executive and billionaire heiress who serves as a senior leader at Estée Lauder Companies, the global cosmetics empire founded by her family.
-
C.
Bobbi Brown
Bobbi Brown is a professional cosmetics and skincare brand founded by makeup artist Bobbi Brown, known for its natural-looking makeup products and beauty philosophy.
-
D.
Elizabeth Arden
Elizabeth Arden was a pioneering Canadian-American businesswoman who founded the Elizabeth Arden cosmetics empire and helped shape the modern beauty industry.
-
E.
Carol Gerber
Carol Gerber is a central female character in Stephen King’s novel "Hearts in Atlantis," whose coming-of-age journey intertwines with themes of love, loss, and the lasting impact of the 1960s.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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. |
Created at: April 8, 2026, 9:39 p.m.