Triple
T26181187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jacqueline Susann |
E654685
|
entity |
| Predicate | Valley of the Dolls |
P160355
|
FINISHED |
| Object | one of the best-selling novels of the 20th century |
—
|
LITERAL 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: one of the best-selling novels of the 20th century | Statement: [Jacqueline Susann, Valley of the Dolls, one of the best-selling novels of the 20th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Valley of the Dolls Context triple: [Jacqueline Susann, Valley of the Dolls, one of the best-selling novels of the 20th century]
-
A.
البنت
Indicates a relationship where an entity is identified as a girl or daughter in relation to another entity.
-
B.
الزوجة
Indicates that one entity is the wife (spouse in a marital relationship) of another entity.
-
C.
Diva
Indicates that an entity is characterized as a celebrated but temperamental performer, often demanding special treatment or attention in their professional context.
-
D.
البنات
Indicates a relationship or action involving girls as the primary participants or subjects.
-
E.
تاريخ الزواج
Indicates the date on which a marriage took place between the related entities.
- F. None of above. chosen
Provenance (4 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_69ee5b45873c81909499203612d05d07 |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f60c7082588190a42c557ed134ce0e |
completed | May 2, 2026, 2:38 p.m. |
| PD | Predicate disambiguation | batch_69f5f7fd90fc81909055b211368f9139 |
completed | May 2, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69f600be0de88190989611e952b03117 |
completed | May 2, 2026, 1:48 p.m. |
Created at: April 26, 2026, 8:40 p.m.