Triple
T13069081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jill Heather Scott |
E329405
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object | Golden |
E329409
|
NE 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: Golden | Statement: [Jill Heather Scott, notableSong, Golden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Golden Context triple: [Jill Heather Scott, notableSong, Golden]
-
A.
Golden
chosen
"Golden" is a soulful R&B song by Jill Scott that celebrates personal freedom, self-love, and empowerment.
-
B.
Golden
Golden is a small town in southeastern British Columbia, Canada, known as a gateway to the Rocky Mountains and several nearby national parks.
-
C.
Golden
Golden is a country-pop-influenced studio album by Australian singer Kylie Minogue that marked a stylistic shift in her music career.
-
D.
Golden
Golden is a 2017 bachata and Latin pop studio album by American singer Romeo Santos that features romantic themes, Caribbean rhythms, and high-profile collaborations.
-
E.
Star Gold
Star Gold is an Indian Hindi-language movie television channel known for broadcasting a wide range of Bollywood films.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980ec8ba48190baf52c7823482680 |
completed | April 10, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d603419c8190b8d1726365db59dc |
completed | May 3, 2026, 4:58 a.m. |
Created at: April 9, 2026, 9 p.m.