Triple
T2292257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dawn Fraser |
E51530
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Dawn |
E250040
|
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: [Dawn Fraser, givenName, Dawn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dawn Context triple: [Dawn Fraser, givenName, Dawn]
-
A.
Dawn
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
chosen
Dawn is a feminine given name commonly associated with the early morning time when light first appears in the sky.
-
C.
The Dawn
The Dawn is the English meaning of the codename used for Operation al-Fajr, a military operation whose title evokes the imagery of a new beginning or breakthrough.
-
D.
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.
-
E.
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.
- 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_69a88b09c644819090b503456d96bf70 |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc5b50df481908a3d8f71d245e8fa |
completed | March 7, 2026, 6:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae7f23ca34819091d2bb0d41613b4a |
completed | March 9, 2026, 8:04 a.m. |
Created at: March 4, 2026, 7:48 p.m.