Triple
T37471797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tirna Scithe |
E931170
|
entity |
| Predicate | primaryAesthetic |
P205915
|
FINISHED |
| Object | Night Fae |
E273809
|
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: Night Fae | Statement: [Tirna Scithe, primaryAesthetic, Night Fae]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryAesthetic Context triple: [Tirna Scithe, primaryAesthetic, Night Fae]
-
A.
primaryAspect
Indicates that one aspect is the main, most defining, or most emphasized characteristic or component of another entity or concept.
-
B.
primaryAppearance
Indicates that the referenced entity is the main or most prominent visual or representational form in which another entity is typically depicted or recognized.
-
C.
primaryFunctionInPlot
Indicates the main narrative role or purpose that an entity serves within the plot of a story.
-
D.
primaryScale
Indicates that one scale or measurement system is designated as the main or default scale used for interpreting or comparing related values.
-
E.
primaryNotation
Indicates the main or preferred symbolic representation or writing system used to express an entity.
- F. None of above. chosen
Provenance (5 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_69f76ec2af148190897d101070d7f415 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a40f165a28881909262db8241bb7032 |
completed | June 28, 2026, 10:03 a.m. |
| PD | Predicate disambiguation | batch_6a037a13a1308190a202df66f4781855 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c842b2c819082f1d2db995ac2eb |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:17 p.m.