Triple
T35579715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marlena Moreau |
E1028185
|
entity |
| Predicate | rankInMirrorUniverse |
P152574
|
FINISHED |
| Object | lieutenant |
—
|
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: lieutenant | Statement: [Marlena Moreau, rankInMirrorUniverse, lieutenant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankInMirrorUniverse Context triple: [Marlena Moreau, rankInMirrorUniverse, lieutenant]
-
A.
rankAmongGods
Indicates how a being’s status or position compares relative to other gods within a divine hierarchy.
-
B.
isRankedAlongside
Indicates that two or more entities share the same or very similar rank, status, or position within a given ordering or hierarchy.
-
C.
rankIn
chosen
Indicates the relative position or level an entity holds within an ordered set, hierarchy, or competitive context.
-
D.
rankComparedTo
Indicates the relative ordering or position of one entity in comparison to another based on a specified ranking criterion.
-
E.
rankingScope
Indicates the context or domain within which a ranking is defined, interpreted, or applied.
- 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_69f76e0386688190b931bacdc145938c |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fbbc49da8c8190902bbb05d2477cab |
completed | May 6, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69fbb13f34b08190bbbb220ac1e6e666 |
completed | May 6, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:04 p.m.