Triple
T13694896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yvette (Baby Boy) |
E328357
|
entity |
| Predicate | portrayalNotedFor |
P49090
|
FINISHED |
| Object | emotional intensity |
—
|
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: emotional intensity | Statement: [Yvette (Baby Boy), portrayalNotedFor, emotional intensity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portrayalNotedFor Context triple: [Yvette (Baby Boy), portrayalNotedFor, emotional intensity]
-
A.
notableDepictionBy
Indicates that an entity is significantly portrayed or represented by a particular creator, work, or medium.
-
B.
notablePortrayalPeriod
Indicates the time period during which a particular portrayal or depiction of something or someone is especially recognized or notable.
-
C.
portrayalFeature
chosen
Indicates that one entity serves as a characteristic, aspect, or attribute highlighted in the depiction or representation of another entity.
-
D.
notableAppearanceIn
Indicates that an entity is prominently featured or plays a significant role in a particular work, event, or context.
-
E.
depictsNotablePerson
Indicates that one entity visually represents or portrays a person who is considered notable or significant.
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc8773f388190b2413b1e05fd5fd7 |
completed | April 12, 2026, 4:29 p.m. |
| PD | Predicate disambiguation | batch_69dbbe9059488190a8113177c83e1481 |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 9:54 p.m.