Triple
T10785240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fraser |
E254434
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Frazer |
E667083
|
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: Frazer | Statement: [Fraser, hasVariant, Frazer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frazer Context triple: [Fraser, hasVariant, Frazer]
-
A.
Frazer
chosen
Frazer was a former settlement that served as the original community from which the city of Altus, Oklahoma, later developed.
-
B.
Verner
Verner is a given name and surname of Germanic origin, used in various European countries.
-
C.
Athoise
Athoise is the French demonym referring to an inhabitant or native of the town of Ath in Belgium.
-
D.
Orlac
Orlac is a surname most notably associated with the fictional pianist protagonist in the classic horror story and film adaptations "The Hands of Orlac."
-
E.
Ambrosinus
Ambrosinus is a central character in the historical fantasy film "The Last Legion," portrayed as a wise and enigmatic mentor with deep knowledge of ancient lore and prophecy.
- 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_69d6aa609f008190a294200aefcb7bd5 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d732d44b488190a9f3ab9b177e737a |
completed | April 9, 2026, 5:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de5609bf9c81908f47591f74c04701 |
completed | April 14, 2026, 2:58 p.m. |
Created at: April 8, 2026, 9:17 p.m.