Triple
T33654908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academy Awards telecast (production design elements) |
E862194
|
entity |
| Predicate | designedToHighlight |
P89469
|
FINISHED |
| Object | Oscar statuette |
—
|
NE NERFINISHED |
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: Oscar statuette | Statement: [Academy Awards telecast (production design elements), designedToHighlight, Oscar statuette]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: designedToHighlight Context triple: [Academy Awards telecast (production design elements), designedToHighlight, Oscar statuette]
-
A.
highlightsAttributeOf
chosen
Indicates that one entity draws attention to, emphasizes, or showcases a particular attribute or property of another entity.
-
B.
designEmphasizes
Indicates that a design intentionally places special importance or focus on a particular feature, principle, or aspect over others.
-
C.
highlightsSign
Indicates that one entity visually emphasizes or draws special attention to a sign.
-
D.
designedToDemonstrate
Indicates that something was intentionally created or arranged for the purpose of showing, illustrating, or proving a particular concept, feature, or behavior.
-
E.
hasHighlights
Indicates that an entity contains emphasized or marked portions, such as key points, annotations, or visually distinguished segments.
- 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_69f349840ba881908e3bfce536aeb92b |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69feabcda59481908f2bc13b46fcced1 |
completed | May 9, 2026, 3:36 a.m. |
| PD | Predicate disambiguation | batch_69feaabd63f88190b30dcf6dd2ea39d1 |
completed | May 9, 2026, 3:32 a.m. |
Created at: May 1, 2026, 1:42 a.m.