Triple
T20608805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | "Why You Been Gone So Long" |
E506389
|
entity |
| Predicate | isFrequentlyCoveredSince |
P140744
|
FINISHED |
| Object | late 1960s |
—
|
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: late 1960s | Statement: ["Why You Been Gone So Long", isFrequentlyCoveredSince, late 1960s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isFrequentlyCoveredSince Context triple: ["Why You Been Gone So Long", isFrequentlyCoveredSince, late 1960s]
-
A.
isFrequentlyCovered
Indicates that an entity is regularly or commonly reported on, discussed, or featured, especially in media or informational sources.
-
B.
hasFrequencyCoverage
Indicates that one entity provides, supports, or is applicable across a specified range or set of frequencies associated with another entity.
-
C.
isFrequentlyIncludedIn
Indicates that something is regularly or commonly contained or made part of something else.
-
D.
isCoveredIn
Indicates that one entity has its surface or area overlaid, coated, or blanketed by another substance or material.
-
E.
widelyCoveredBy
Indicates that something (such as an event, topic, or issue) receives extensive attention or reporting from many media outlets or information sources.
- 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_69e0b4bb2b4081908fa4a72444120f35 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6aad4b0bc819097b785f921561f36 |
completed | April 20, 2026, 10:38 p.m. |
| PD | Predicate disambiguation | batch_69e5a00c43308190b7ea58d559257e07 |
completed | April 20, 2026, 3:39 a.m. |
| PDg | Predicate description generation | batch_69e5a6a9f3f88190b961db9aca36f7da |
completed | April 20, 2026, 4:08 a.m. |
Created at: April 16, 2026, 11:41 a.m.