Triple
T14957860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen Aggravain |
E372978
|
entity |
| Predicate | notableTraitOnStage |
P116847
|
FINISHED |
| Object | larger-than-life personality |
—
|
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: larger-than-life personality | Statement: [Queen Aggravain, notableTraitOnStage, larger-than-life personality]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableTraitOnStage Context triple: [Queen Aggravain, notableTraitOnStage, larger-than-life personality]
-
A.
notableTraitInMarvel
Indicates that a particular trait or characteristic is especially prominent or noteworthy within the Marvel universe.
-
B.
notableFeat
Indicates that an entity is recognized for having achieved or performed a particularly significant or distinguished feat.
-
C.
notableHostTrait
Indicates that a host possesses a particular characteristic or quality that is especially significant or noteworthy in the context of the relationship or event.
-
D.
hasSupportingCharacterTrait
Indicates that a supporting character possesses a particular trait, quality, or characteristic.
-
E.
notableFeatureOn
Indicates that one entity is a prominent or distinguishing feature located on or part of another entity.
- 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_69d85cca979481908747d2a81eba1cea |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6cd85bc81909040b7ff78f62554 |
completed | April 15, 2026, 12:07 a.m. |
| PD | Predicate disambiguation | batch_69de9a5d995881909e33658f5aea5582 |
completed | April 14, 2026, 7:49 p.m. |
| PDg | Predicate description generation | batch_69deb1a4d8dc8190a4c0841c20f2875f |
completed | April 14, 2026, 9:29 p.m. |
Created at: April 10, 2026, 2:40 a.m.