Triple
T1206193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Day |
E25893
|
entity |
| Predicate | relatedWork |
P37
|
FINISHED |
| Object | Dawn |
E27251
|
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: Dawn | Statement: [Day, relatedWork, Dawn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dawn Context triple: [Day, relatedWork, Dawn]
-
A.
Dawn
chosen
Dawn is a novel by Elie Wiesel that explores the moral and psychological struggles of a young Holocaust survivor involved in a Jewish underground movement in British-controlled Palestine.
-
B.
Dawn Steel
Dawn Steel was a pioneering American film executive and producer, known as one of the first women to head a major Hollywood studio.
-
C.
Earthlight
Earthlight is a science fiction novel by Arthur C. Clarke that explores political tension and scientific discovery in a future human civilization spread across the Moon and the Solar System.
-
D.
Firmament
Firmament is the vast, arching expanse of sky or heavens often conceived in ancient cosmologies as a solid dome separating the earthly realm from the celestial.
-
E.
Day of the Sun
Day of the Sun is North Korea’s most important national holiday, marking the birth anniversary of founding leader Kim Il-sung with large-scale celebrations and state ceremonies.
- 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_69a4942b30f08190a91c60573e16b5ef |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bdc314c88190b1b5953834bfce7b |
completed | March 1, 2026, 10:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac8319d0e88190977a4d434b209f11 |
completed | March 7, 2026, 7:57 p.m. |
Created at: March 1, 2026, 7:46 p.m.