Triple
T19704629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Myrtha |
E473179
|
entity |
| Predicate | relationshipToGiselle |
P137011
|
FINISHED |
| Object | supernatural 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: supernatural ruler | Statement: [Myrtha, relationshipToGiselle, supernatural ruler]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToGiselle Context triple: [Myrtha, relationshipToGiselle, supernatural ruler]
-
A.
relationshipToOdette
Indicates the specific familial, social, or interpersonal connection that an entity has with Odette.
-
B.
relationshipToPrincess
Indicates the specific familial, social, or romantic connection that one entity has to a princess.
-
C.
relationshipToMadameMerle
Indicates the specific nature or type of relationship an entity has with Madame Merle.
-
D.
relationshipToJoeGillis
Indicates the specific type of personal or social relationship that one entity has to Joe Gillis.
-
E.
relationshipToGilbertOsmond
Indicates the specific type of personal or social relationship that an entity has with Gilbert Osmond.
- 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_69d8e516dd048190a0b6c93ea3e71f58 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e642b998608190a82f23bbf77f7bd2 |
completed | April 20, 2026, 3:14 p.m. |
| PD | Predicate disambiguation | batch_69e530438c60819082364c7be3eef6f0 |
completed | April 19, 2026, 7:42 p.m. |
| PDg | Predicate description generation | batch_69e532bbedf081908d801600e2af94a7 |
completed | April 19, 2026, 7:53 p.m. |
Created at: April 10, 2026, 1:46 p.m.