Triple
T8445875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lour, Angus |
E199673
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object | Lour |
E199672
|
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: Lour | Statement: [Lour, Angus, hasName, Lour]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lour Context triple: [Lour, Angus, hasName, Lour]
-
A.
Lour
chosen
Lour is a Scottish estate historically linked to the Carnegie family, notably associated with the title "Carnegie of Lour."
-
B.
Laure
Laure is a feminine given name, primarily used in French-speaking countries, that is a variant of the name Laura.
-
C.
Lorna
Lorna is a feminine given name most notably borne by American actress and singer Lorna Luft, the daughter of Judy Garland.
-
D.
Laureline
Laureline is a courageous and quick-witted space-time agent who partners with Valerian in the sci-fi universe of "Valerian and the City of a Thousand Planets."
-
E.
Lizella
Lizella is an unincorporated community in central Georgia, United States, located near the city of Macon.
- 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_69ca83170f9081909cd98f55614c6476 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe3152a3c819092efdeab718def7a |
completed | March 31, 2026, 3:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce4dc984ec8190910e25f36d538928 |
completed | April 2, 2026, 11:06 a.m. |
Created at: March 30, 2026, 6:09 p.m.