Triple
T30243823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Nice Guys (2016 film) score (with John Ottman) |
E768998
|
entity |
| Predicate | basedOnSettingPeriod |
P123135
|
FINISHED |
| Object | 1970s |
—
|
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: 1970s | Statement: [The Nice Guys (2016 film) score (with John Ottman), basedOnSettingPeriod, 1970s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedOnSettingPeriod Context triple: [The Nice Guys (2016 film) score (with John Ottman), basedOnSettingPeriod, 1970s]
-
A.
basedOnSetting
Indicates that one entity is derived from, influenced by, or constructed using the setting or contextual environment defined by another entity.
-
B.
basedOnMaterialPeriod
Indicates that something is determined, classified, or characterized according to the material period from which it originates or to which it belongs.
-
C.
basedOnWorkPeriod
Indicates that something is determined, calculated, or defined according to a specific period of work or employment.
-
D.
mainSettingPeriod
chosen
Indicates the historical or temporal period in which the primary setting of a work or event takes place.
-
E.
setsBaselinePeriod
Indicates that an entity establishes or defines a reference time span used as the baseline for comparison, measurement, or evaluation of subsequent periods.
- 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_69f224820c048190b1435c4cc145acf1 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fd6f9d600c8190acf495b7fc632e4b |
completed | May 8, 2026, 5:07 a.m. |
| PD | Predicate disambiguation | batch_69fd6e98a2948190a9f78c415ad23b8c |
completed | May 8, 2026, 5:03 a.m. |
Created at: April 29, 2026, 7:39 p.m.