Triple
T35067914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Earth & Water |
E1011780
|
entity |
| Predicate | depictsEmotionalStruggleOf |
P78812
|
FINISHED |
| Object | Flame Princess |
—
|
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: Flame Princess | Statement: [Earth & Water, depictsEmotionalStruggleOf, Flame Princess]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictsEmotionalStruggleOf Context triple: [Earth & Water, depictsEmotionalStruggleOf, Flame Princess]
-
A.
depictsMood
chosen
Indicates that one entity visually represents or conveys the emotional state or mood of another entity.
-
B.
emotionalChallenge
Indicates a situation where one entity causes or experiences significant emotional difficulty or stress in relation to another entity or circumstance.
-
C.
depicts
Indicates that one entity visually represents, portrays, or shows another entity.
-
D.
depictsConflict
Indicates that one entity visually represents or portrays a situation of conflict involving another entity or entities.
-
E.
emotionPersonified
Indicates that an abstract emotion is represented or depicted as if it were a person or human-like agent.
- 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_69f76dd193108190af2528186f25b72a |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fd32848ea88190a71e6df402bbb30e |
completed | May 8, 2026, 12:47 a.m. |
| PD | Predicate disambiguation | batch_69fd2d7e95588190991d5f21e25155df |
completed | May 8, 2026, 12:25 a.m. |
Created at: May 3, 2026, 4:01 p.m.