Triple
T25938912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen Gayelette |
E653636
|
entity |
| Predicate | relationshipToWingedMonkeys |
P194596
|
FINISHED |
| Object | ruler |
—
|
LITERAL 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: ruler | Statement: [Queen Gayelette, relationshipToWingedMonkeys, ruler]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToWingedMonkeys Context triple: [Queen Gayelette, relationshipToWingedMonkeys, ruler]
-
A.
reasonForEnchantingWingedMonkeys
Indicates the motivation or purpose behind the act of enchanting winged monkeys.
-
B.
relationshipToMonk
Indicates the specific type of relationship an entity has to a monk, such as familial, social, or institutional connection.
-
C.
relationshipToHamm
Indicates that one entity stands in a specified relationship to the entity referred to as Hamm.
-
D.
relationshipToPete
Indicates the specific type of relationship or connection that an entity has to Pete.
-
E.
relationshipToTheDude
Indicates the specific type of personal or social relationship that one entity has to the individual referred to as "the Dude."
- F. None of above. chosen
Provenance (4 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_69e7ab3fd2f881908837305e4ba98011 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69fd7e364a648190a1e9e1d9fc76e99e |
completed | May 8, 2026, 6:09 a.m. |
| PD | Predicate disambiguation | batch_69fd7bb547608190a3b04dddbca6b8bc |
completed | May 8, 2026, 5:59 a.m. |
| PDg | Predicate description generation | batch_69fd7e35967081909f8bc8389d976ffd |
completed | May 8, 2026, 6:09 a.m. |
Created at: April 22, 2026, 8:40 a.m.