Triple
T26853241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moors (fictional kingdom) |
E676113
|
entity |
| Predicate | primaryProtectorSpecies |
P187174
|
FINISHED |
| Object | Dark Fae |
—
|
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: Dark Fae | Statement: [Moors (fictional kingdom), primaryProtectorSpecies, Dark Fae]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryProtectorSpecies Context triple: [Moors (fictional kingdom), primaryProtectorSpecies, Dark Fae]
-
A.
primaryAISpecies
Indicates that one species is the main or dominant species associated with a particular AI system or AI-related context.
-
B.
guardianSpecies
chosen
Indicates a relationship where one species serves as a protector or guardian for another species.
-
C.
primaryBreedingSpecies
Indicates that one species serves as the main or predominant breeding partner or host in relation to another species.
-
D.
leaderSpecies
Indicates that one species serves as the leader or dominant guiding species in relation to another species.
-
E.
mainPreySpecies
Indicates the species that serves as the primary prey or main food source for a given predator.
- 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_69eee9b9d7708190a15d7485709ae981 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69feb8e856d48190aa34ad8ee8376e1c |
completed | May 9, 2026, 4:32 a.m. |
| PD | Predicate disambiguation | batch_69feb82a2b6c8190a473cc25976897be |
completed | May 9, 2026, 4:29 a.m. |
Created at: April 27, 2026, 5:19 a.m.