Triple
T13166632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | In Your Eyes |
E312866
|
entity |
| Predicate | performer |
P1363
|
FINISHED |
| Object | Dan Hill |
E756437
|
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: Dan Hill | Statement: [In Your Eyes, performer, Dan Hill]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dan Hill Context triple: [In Your Eyes, performer, Dan Hill]
-
A.
Dan Hill
chosen
Dan Hill is a Canadian pop and soft rock singer-songwriter best known for his emotive ballads such as "Sometimes When We Touch."
-
B.
Leo Sayer
Leo Sayer is an English pop singer-songwriter best known for his 1970s hits such as "You Make Me Feel Like Dancing" and "When I Need You."
-
C.
Kim Carnes
Kim Carnes is an American singer-songwriter best known for her raspy voice and the 1981 hit single "Bette Davis Eyes."
-
D.
John Paul Young
John Paul Young is a Scottish-born Australian pop singer best known for his 1977 international hit single "Love Is in the Air."
-
E.
Sidney Greenbush
Sidney Greenbush is an American former child actress best known for playing Carrie Ingalls on the television series "Little House on the Prairie" alongside her twin sister, Lindsay.
- 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_69d806ac3ee081909b2fd27d060aa974 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c2c317881908cc715c97d915f77 |
completed | April 10, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f72660f8d48190b437a57f2a75f6ae |
completed | May 3, 2026, 10:41 a.m. |
Created at: April 9, 2026, 9:13 p.m.