Triple
T37921523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | How Can I Unlove You |
E945975
|
entity |
| Predicate | hasNotableChartEra |
P100607
|
FINISHED |
| Object | early 1970s country charts |
—
|
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: early 1970s country charts | Statement: [How Can I Unlove You, hasNotableChartEra, early 1970s country charts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableChartEra Context triple: [How Can I Unlove You, hasNotableChartEra, early 1970s country charts]
-
A.
hasNotableChartingStatus
Indicates that an entity has achieved a specific, noteworthy position or performance on an official chart or ranking.
-
B.
hasNotableChartingSong
Indicates that an entity (typically a musical artist or group) has at least one song that has achieved notable placement on a recognized music chart.
-
C.
yearOfNotableChartSuccess
Indicates the specific year in which an entity achieved notable success on a music chart.
-
D.
hasNotableRecordingPeriod
chosen
Indicates that an entity is associated with a specific time span during which notable recording activity took place.
-
E.
hasNotableChartContext
Indicates that something is associated with a significant or noteworthy context related to charts or chart performance.
- 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_69f76ef2ebd88190be5229f2621070b3 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a192a008190a9917688a9e804f4 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:20 p.m.