Triple
T32096380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lady of the Golden Wood |
E819731
|
entity |
| Predicate | contrastsWithTitle |
P123206
|
FINISHED |
| Object | Lord of the Galadhrim |
—
|
NE NERFINISHED |
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: Lord of the Galadhrim | Statement: [Lady of the Golden Wood, contrastsWithTitle, Lord of the Galadhrim]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: contrastsWithTitle Context triple: [Lady of the Golden Wood, contrastsWithTitle, Lord of the Galadhrim]
-
A.
providesContrastWith
chosen
Indicates that one entity is used to highlight differences or distinctions when compared with another entity.
-
B.
dramaticContrastWith
Indicates that one entity is presented in a way that sharply emphasizes differences in tone, style, or impact when compared with another entity.
-
C.
dramaticContrastType
Indicates a type of contrast between elements (such as characters, scenes, or ideas) that heightens drama or emotional impact.
-
D.
achievesContrast
Indicates that one entity creates or enhances a visual or conceptual difference relative to another entity.
-
E.
initiallyContrastsWith
Indicates that one entity is first presented or perceived in opposition or contrast to another entity at the beginning of a sequence, process, or context.
- F. None of above.
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_69f34901106881908ea893ad504a08be |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fdfbafe32081909c62653ff4fc155c |
completed | May 8, 2026, 3:05 p.m. |
| PD | Predicate disambiguation | batch_69fdf64db4a881908f8250e24ae3cefb |
completed | May 8, 2026, 2:42 p.m. |
Created at: May 1, 2026, 12:26 a.m.