Triple
T8902831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Echo and Narcissus |
E211969
|
entity |
| Predicate | depictsGenderOfNarcissus |
P27006
|
FINISHED |
| Object | male |
—
|
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: male | Statement: [Echo and Narcissus, depictsGenderOfNarcissus, male]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictsGenderOfNarcissus Context triple: [Echo and Narcissus, depictsGenderOfNarcissus, male]
-
A.
depictsPerson
Indicates that one entity visually represents or portrays a specific person.
-
B.
depictedSubject
Indicates that one entity visually represents or portrays another entity as its subject in an image or depiction.
-
C.
genderPersonification
chosen
Indicates that a non-human entity is represented or treated as having a specific gender.
-
D.
depictsMood
Indicates that one entity visually represents or conveys the emotional state or mood of another entity.
-
E.
depictsSex
Indicates that one entity visually represents or portrays sexual activity or sexual content involving another entity.
- 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_69ca83918d3081909b326fa3750cb8c8 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc64c091d08190b59e54eb4a184e41 |
completed | April 1, 2026, 12:20 a.m. |
| PD | Predicate disambiguation | batch_69cc5ecf55248190a29f00fbf99f13c4 |
completed | March 31, 2026, 11:54 p.m. |
Created at: March 30, 2026, 6:55 p.m.