Triple
T4980868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Motherland |
E111879
|
entity |
| Predicate | isPersonifiedAs |
P33556
|
FINISHED |
| Object | female figure |
—
|
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: female figure | Statement: [Motherland, isPersonifiedAs, female figure]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPersonifiedAs Context triple: [Motherland, isPersonifiedAs, female figure]
-
A.
brandCharacter
Indicates that one entity serves as a brand character or mascot representing another entity (typically a brand or product).
-
B.
characterIn
Indicates that an entity appears as a character within a specified work, story, or narrative.
-
C.
characterPortrayedIs
Indicates that one entity serves as the fictional or dramatic role that is depicted or played by another entity.
-
D.
characterAlias
Indicates that one character is known or referred to by an alternative name or alias.
-
E.
portraysFictionalEntity
chosen
Indicates that one entity depicts, represents, or plays the role of a fictional character or figure.
- 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_69bd441adc208190b70a033a0741d01e |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd730a7590819088ab8d49c5c88c2f |
completed | March 20, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69bd7146e6e881908a55ab2756b631f6 |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:33 p.m.