Triple
T4814448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stephen Dedalus |
E107152
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Dedalus |
E317
|
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: Dedalus | Statement: [Stephen Dedalus, familyName, Dedalus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dedalus Context triple: [Stephen Dedalus, familyName, Dedalus]
-
A.
Demologos
Demologos was the world's first steam-powered warship, designed by Robert Fulton for the United States Navy during the War of 1812.
-
B.
Dædalus
chosen
Dædalus is a scholarly journal of the American Academy of Arts and Sciences that features interdisciplinary essays on culture, science, public affairs, and the arts.
-
C.
Prothoos
Prothoos is a figure from Greek mythology known as the leader of the Magnetes in the Trojan War.
-
D.
Alciphron
Alciphron is the titular character of George Berkeley’s philosophical dialogue "Alciphron, or The Minute Philosopher," representing a skeptical free-thinker whose views are examined and challenged throughout the work.
-
E.
Dorothea
Dorothea is the middle name of Angela Merkel, the long-serving former chancellor of Germany.
- 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_69bd43f779448190b92885cb70abb6c2 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6c80ce048190a7c9f14431d7c62f |
completed | March 20, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be4db1b67c81908272d8b7e7e4e1f1 |
completed | March 21, 2026, 7:50 a.m. |
Created at: March 20, 2026, 1:23 p.m.