Triple
T13351509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saffron Burrows |
E318078
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Saffron |
E913138
|
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 Burrows, givenName, Saffron]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saffron Context triple: [Saffron Burrows, givenName, Saffron]
-
A.
Saffron
chosen
Saffron is a fictional character from the British sitcom "Absolutely Fabulous," known as the sensible and responsible daughter of the eccentric Edina Monsoon.
-
B.
Krokos Kozanis saffron
Krokos Kozanis saffron is a premium Greek red saffron renowned for its exceptional aroma, flavor, and high quality, produced in the Kozani region.
-
C.
Haldi
Haldi is the chief war and national god of the ancient Kingdom of Urartu, central to its state religion and royal ideology.
-
D.
Fennel
Fennel is a Lisp-like programming language that compiles to Lua, offering a minimal, functional syntax with seamless integration into the Lua ecosystem.
-
E.
Elettaria
Elettaria is a genus of flowering plants in the ginger family best known for producing the cardamom spice used in cooking and traditional medicine.
- 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_69d806b5a3c08190b42c267fb092f98a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99e8c2f1c819094f0970f35f18afa |
completed | April 11, 2026, 1:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f71f47fd7c8190b8d98a181acd7710 |
completed | May 3, 2026, 10:11 a.m. |
Created at: April 9, 2026, 9:32 p.m.