Triple
T18504972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | "Work It Out" (Beyoncé) music video |
E452175
|
entity |
| Predicate | primarySettingEra |
P77920
|
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: ["Work It Out" (Beyoncé) music video, primarySettingEra, 1970s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primarySettingEra Context triple: ["Work It Out" (Beyoncé) music video, primarySettingEra, 1970s]
-
A.
primaryEraEvaluated
Indicates that an entity has been assessed or analyzed with respect to its main or most relevant historical era or time period.
-
B.
precedesEra
Indicates that one time period or era occurs entirely before another in chronological order.
-
C.
hasPrimaryEra
chosen
Indicates that an entity is chiefly associated with or belongs to a particular historical or temporal era.
-
D.
firstEraNameDerivedFrom
Indicates that the name of the first era associated with an entity is derived from, or based on, another specified source.
-
E.
introductionEra
Indicates the historical period or era during which something was first introduced or came into use.
- 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_69d8d386df84819092355ebb260d848e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53341063c81908361b0eb78794145 |
completed | April 19, 2026, 7:55 p.m. |
| PD | Predicate disambiguation | batch_69e469dbf5208190b6fc49e02a087f54 |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 11:36 a.m.