Triple
T24634310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love Will Tear Us Apart |
E609761
|
entity |
| Predicate | firstChartedIn |
P78746
|
FINISHED |
| Object | United Kingdom |
—
|
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: United Kingdom | Statement: [Love Will Tear Us Apart, firstChartedIn, United Kingdom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstChartedIn Context triple: [Love Will Tear Us Apart, firstChartedIn, United Kingdom]
-
A.
firstChartedOn
Indicates that an entity was first mapped, recorded, or charted on a specific date or during a specific time.
-
B.
firstChartedInCountry
chosen
Indicates the country in which something (such as a song, album, or media work) first appeared on an official chart or ranking.
-
C.
eraOfDiscovery
Indicates a relationship where something belongs to, occurs in, or is characteristic of a specific era of discovery or exploration.
-
D.
firstAppearedOnGlobeBy
Indicates that an entity made its first appearance or was first featured on a globe created or authored by the specified source.
-
E.
firstMajorExplorationIn
Indicates that an entity represents the earliest significant exploration activity that took place in a specified location or context.
- 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_69e2c4d28f848190ac38c400060e943d |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f2be064ff88190b5d9e5ec75a41242 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6d0ab708190b2e3b94dd20ca76b |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:32 a.m.