Triple
T8672023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fevers and Mirrors |
E205818
|
entity |
| Predicate | track |
P17929
|
FINISHED |
| Object | Sunrise, Sunset |
E268012
|
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: Sunrise, Sunset | Statement: [Fevers and Mirrors, track, Sunrise, Sunset]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sunrise, Sunset Context triple: [Fevers and Mirrors, track, Sunrise, Sunset]
-
A.
Sunrise, Sunset
chosen
"Sunrise, Sunset" is a poignant and reflective song from the musical *Fiddler on the Roof* that meditates on the passage of time and children growing up.
-
B.
Sunrise
"Sunrise" is a critically acclaimed Indian independent drama film featuring Adil Hussain in a powerful lead performance.
-
C.
Sunrise
"Sunrise" is a multi-part Grateful Dead song known for its ethereal, introspective style and inclusion on the 1977 album *Terrapin Station*.
-
D.
Sunrise
Sunrise is a high-elevation visitor area on the northeastern side of Mount Rainier known for its panoramic mountain views, hiking trails, and wildflower meadows.
-
E.
Sunrise
"Sunrise" is a novel by 19th-century Scottish author William Black, known for its romantic storytelling and vivid depictions of British life and landscapes.
- 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_69ca83529a9c8190b5c075b4f14636ed |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc491a34d08190b0795079d192a03d |
completed | March 31, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cecd3a3c5c8190940a61e7e7b3e887 |
completed | April 2, 2026, 8:10 p.m. |
Created at: March 30, 2026, 6:31 p.m.