Triple
T2395663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saffron Aldridge |
E47644
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Saffron |
E101685
|
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: Saffron | Statement: [Saffron Aldridge, givenName, Saffron]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saffron Context triple: [Saffron Aldridge, givenName, Saffron]
-
A.
Haldi
Haldi is the chief war and national god of the ancient Kingdom of Urartu, central to its state religion and royal ideology.
-
B.
Cinnamon
Cinnamon is a modern, user-friendly desktop environment for Linux systems that offers a traditional, Windows-like interface with advanced customization options.
-
C.
Marigold
chosen
Marigold is a feminine given name most commonly associated with the bright yellow-orange flower and occasionally used in English-speaking countries.
-
D.
Cynara
Cynara is a genus of thistle-like flowering plants best known for including the cultivated artichoke.
-
E.
Kassia
Kassia was a 9th-century Byzantine abbess, poet, and hymnographer renowned as one of the earliest and most important female composers in the Eastern Orthodox tradition.
- 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_69a88a1c450c81909f61abb8b6863885 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abc879b1b88190be8d0337d9a17bd0 |
completed | March 7, 2026, 6:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aeb3dc44dc819099b8914b878c5638 |
completed | March 9, 2026, 11:49 a.m. |
Created at: March 4, 2026, 7:57 p.m.