Triple
T20978816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Balcon |
E516695
|
entity |
| Predicate | hasBelovedFigure |
P37076
|
FINISHED |
| Object | idealized woman |
—
|
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: idealized woman | Statement: [Le Balcon, hasBelovedFigure, idealized woman]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBelovedFigure Context triple: [Le Balcon, hasBelovedFigure, idealized woman]
-
A.
hasFictionalBeloved
Indicates that an entity has a romantic partner or beloved who exists only as a fictional character.
-
B.
isBelovedOf
Indicates that one entity is deeply loved, cherished, or held in special affection by another entity.
-
C.
hasBelovedRole
Indicates that an entity holds a role or position that is deeply cherished or loved by another entity.
-
D.
favoriteFigure
Indicates that one entity is the preferred or most liked figure (such as a person, character, or symbol) of another entity.
-
E.
hasIconographicFigure
chosen
Indicates that one entity includes, depicts, or is associated with a particular iconographic figure in its visual or symbolic representation.
- 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_69e0b4fee5ac8190875fa9ceba1a5e5e |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fbdc6ca08190919717f4328c7a0d |
completed | April 21, 2026, 4:23 a.m. |
| PD | Predicate disambiguation | batch_69e5dbe6976081908abd4e9c8734bae9 |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 1:47 p.m.