Triple
T22780733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | McGraw-Hill Building |
E563827
|
entity |
| Predicate | hasOrnamentationLevel |
P19073
|
FINISHED |
| Object | relatively minimal for Art Deco |
—
|
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: relatively minimal for Art Deco | Statement: [McGraw-Hill Building, hasOrnamentationLevel, relatively minimal for Art Deco]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOrnamentationLevel Context triple: [McGraw-Hill Building, hasOrnamentationLevel, relatively minimal for Art Deco]
-
A.
hasOrnamentation
chosen
Indicates that an entity possesses decorative features or embellishments applied to its surface or structure.
-
B.
hasOrchestralFeature
Indicates that something includes, exhibits, or is characterized by a notable orchestral element or component.
-
C.
notableOrnamental
Indicates that something is recognized as a particularly significant or distinguished example of ornamental decoration or design.
-
D.
hasMusicalArrangementCharacteristic
Indicates that a musical arrangement possesses a specific characteristic, feature, or quality.
-
E.
hasCadenza
Indicates that a musical work, passage, or performance includes or is associated with a cadenza section.
- 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_69e2455500788190b4b33030461f3bbd |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17c2cab0881908df1d0629b43d350 |
completed | April 29, 2026, 3:34 a.m. |
| PD | Predicate disambiguation | batch_69eed2c32e8c8190b73bb9965ed47d64 |
completed | April 27, 2026, 3:06 a.m. |
Created at: April 17, 2026, 3:28 p.m.