Triple
T28707496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sex and the Single Girl |
E729732
|
entity |
| Predicate | isLooselyBasedOn |
P7125
|
FINISHED |
| Object | Sex and the Single Girl (non-fiction book) |
—
|
NE NERFINISHED |
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: Sex and the Single Girl (non-fiction book) | Statement: [Sex and the Single Girl, isLooselyBasedOn, Sex and the Single Girl (non-fiction book)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isLooselyBasedOn Context triple: [Sex and the Single Girl, isLooselyBasedOn, Sex and the Single Girl (non-fiction book)]
-
A.
basedOnInFiction
Indicates that a fictional work, character, or element is derived from, inspired by, or modeled after another real or fictional source.
-
B.
inspiredByAdaptationOf
Indicates that something draws its inspiration from an adaptation (rather than the original source) of another work or entity.
-
C.
basedOnRealLife
Indicates that something is derived from, inspired by, or directly adapted from actual real-world events, people, or situations.
-
D.
depictionBasedOn
Indicates that one depiction is created using another work, image, or representation as its source or reference.
-
E.
isBasedOn
chosen
Indicates that one entity is derived from, inspired by, or developed using the content, structure, or principles of another entity.
- F. None of above.
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_69f043e7d5a4819094b18aca10b1e024 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f656d4e7b081909ba541afc649a059 |
completed | May 2, 2026, 7:56 p.m. |
| PD | Predicate disambiguation | batch_69f651ac855481908e30c3b345d31356 |
completed | May 2, 2026, 7:34 p.m. |
Created at: April 28, 2026, 5:46 a.m.