Triple
T19666648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Year of the Horse |
E472216
|
entity |
| Predicate | includesSong |
P7178
|
FINISHED |
| Object | Tired Eyes |
—
|
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: Tired Eyes | Statement: [Year of the Horse, includesSong, Tired Eyes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tired Eyes Context triple: [Year of the Horse, includesSong, Tired Eyes]
-
A.
Tired Eyes
chosen
"Tired Eyes" is a somber, piano-driven Neil Young song noted for its weary vocal delivery and themes of loss and regret.
-
B.
Teary Eyes
"Teary Eyes" is a dance-pop song by American singer Kesha from her 2020 album "High Road," known for pairing emotional lyrics about heartbreak with an upbeat, club-ready production.
-
C.
Vacation Eyes
"Vacation Eyes" is a song featured on the album "The Album."
-
D.
Eyes Closed
"Eyes Closed" is a song featured on the album *Life Rolls On* by the American country duo Florida Georgia Line.
-
E.
Closed Eyes
"Closed Eyes" is a symbolist painting by Odilon Redon that depicts a dreamlike, introspective female figure with closed eyes, evoking themes of inner vision and spiritual contemplation.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e514f2e08190ba70a4449519d218 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e641694e448190bc734c07ae2df024 |
completed | April 20, 2026, 3:08 p.m. |
Created at: April 10, 2026, 1:45 p.m.