Triple
T29646822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Eyes |
E756021
|
entity |
| Predicate | hasHitStatusInCountry |
P111352
|
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: [New Eyes, hasHitStatusInCountry, United Kingdom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHitStatusInCountry Context triple: [New Eyes, hasHitStatusInCountry, United Kingdom]
-
A.
hasHitSingleInCountry
chosen
Indicates that an entity (typically a musical artist or song) has achieved at least one hit single in a specified country.
-
B.
countrySpecificStatus
Indicates a status or condition that is defined or applied specifically in the context of a particular country.
-
C.
hostCountryStatus
Indicates the status or role an entity holds within a particular host country, such as its standing, designation, or operational condition there.
-
D.
isSetInCountry
Indicates that something (such as an event, story, or scene) takes place within the geographical or political boundaries of a specified country.
-
E.
hasCountry
Indicates that one entity possesses, is associated with, or is located within a specific country.
- 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_69f0ef89d2c88190a6d0d5116ccd7cc9 |
completed | April 28, 2026, 5:34 p.m. |
| NER | Named-entity recognition | batch_69fd5f29b1988190877764ef2a399c7f |
completed | May 8, 2026, 3:57 a.m. |
| PD | Predicate disambiguation | batch_69fd5e30194c819085b5ce586122ab37 |
completed | May 8, 2026, 3:53 a.m. |
Created at: April 28, 2026, 6:50 p.m.