Triple
T37223926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fifi La Fume |
E922956
|
entity |
| Predicate | romanticFocus |
P10693
|
FINISHED |
| Object | various male characters |
—
|
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: various male characters | Statement: [Fifi La Fume, romanticFocus, various male characters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: romanticFocus Context triple: [Fifi La Fume, romanticFocus, various male characters]
-
A.
romanticFeeling
Indicates that one entity experiences romantic attraction or affection toward another entity.
-
B.
romanticArc
chosen
Indicates a developing or ongoing romantic relationship or storyline between the involved entities.
-
C.
romanticPattern
Indicates a recurring style, tendency, or structure in how romantic relationships or attractions develop or are expressed between entities.
-
D.
romanticIdeal
Indicates that one entity is regarded by another as an ideal or preferred model in a romantic context.
-
E.
romanticallyObsessedWith
Indicates a strong, often overwhelming romantic fixation or preoccupation that one entity has toward another.
- 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_69f76ea7f0008190b31b8e30f3d05a71 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb78cbef988190b8f79d946b46e6b2 |
completed | May 6, 2026, 5:22 p.m. |
| PD | Predicate disambiguation | batch_69fb5a9ac5a08190b24ef308963fc52b |
completed | May 6, 2026, 3:13 p.m. |
Created at: May 3, 2026, 4:15 p.m.