Triple
T16035471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Farthest Shore |
E388959
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Ged |
E1193381
|
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: Ged | Statement: [The Farthest Shore, mainCharacter, Ged]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ged Context triple: [The Farthest Shore, mainCharacter, Ged]
-
A.
Ged
chosen
Ged is the central wizard protagonist of Ursula K. Le Guin’s Earthsea fantasy series, known for his journey from reckless youth to wise archmage as he confronts the consequences of his own power.
-
B.
Ged
Ged is a common diminutive or nickname for the given name Gerald.
-
C.
GCT
GCT is the abbreviated name of the Titans sports team.
-
D.
GCE
GCE is Google’s infrastructure-as-a-service platform that provides scalable virtual machines and related cloud computing resources on Google Cloud.
-
E.
GCE
GCE was the UCI team code for the French professional cycling team sponsored by the Caisse d’Epargne banking group.
- 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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1833b84608190887dafda5d081dc0 |
completed | April 17, 2026, 12:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff796fafc8190b6cfb2d8ea502eef |
completed | May 10, 2026, 3:12 a.m. |
Created at: April 10, 2026, 4:56 a.m.