Triple
T38444702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love Hurts |
E906612
|
entity |
| Predicate | NazarethVersion.countryOfOrigin |
P191159
|
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 Hurts, NazarethVersion.countryOfOrigin, United Kingdom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: NazarethVersion.countryOfOrigin Context triple: [Love Hurts, NazarethVersion.countryOfOrigin, United Kingdom]
-
A.
NazarethVersion.performer
Indicates that a particular performer or artist is responsible for performing the NazarethVersion in question.
-
B.
NazarethVersion.instanceOf
Indicates that a specific NazarethVersion is an instance or realization of a more general version type or class.
-
C.
laterCountryOfOrigin
Indicates that an entity’s country of origin changed, and this predicate specifies the country that became its origin at a later time than a previously associated country.
-
D.
formationCountry
Indicates the country in which an entity (such as an organization, company, or group) was originally formed or established.
-
E.
nationalityAtLaunch
Indicates the country or national affiliation associated with an entity at the specific time it was launched.
- 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_69f76e72878c8190a692836c8b01b58b |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fcdaa36f90819093f8661969990c7d |
completed | May 7, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69fcd8fefc588190b063d7ea1ec87b07 |
completed | May 7, 2026, 6:25 p.m. |
| PDg | Predicate description generation | batch_69fcdaa2bfc08190beccabb0f1782d0d |
completed | May 7, 2026, 6:32 p.m. |
Created at: May 3, 2026, 4:31 p.m.