Triple
T4928344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Statue of George Washington at Federal Hall |
E110630
|
entity |
| Predicate | subjectGesture |
P52684
|
FINISHED |
| Object | right hand extended |
—
|
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: right hand extended | Statement: [Statue of George Washington at Federal Hall, subjectGesture, right hand extended]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subjectGesture Context triple: [Statue of George Washington at Federal Hall, subjectGesture, right hand extended]
-
A.
signatureGesture
Indicates a distinctive or characteristic gesture that is uniquely associated with a particular individual or entity.
-
B.
gesture
Indicates that an entity uses a bodily movement or sign to communicate or express something to another entity.
-
C.
governingBodyLanguage
Indicates the language officially used by the governing body to conduct its affairs, issue documents, and communicate.
-
D.
movementRepresentedBy
Indicates that a movement or motion of an entity is depicted, encoded, or symbolized by another entity (such as a sign, pattern, or representation).
-
E.
handPosition
chosen
Indicates the spatial location or orientation of a hand relative to a reference point or object.
- 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_69bd4415190c8190817bee7ec9f9f944 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd7038c12c81908a793b4a8768c28a |
completed | March 20, 2026, 4:05 p.m. |
| PD | Predicate disambiguation | batch_69bd6c3695c8819094e7ad2f6d4ba1ac |
completed | March 20, 2026, 3:48 p.m. |
Created at: March 20, 2026, 1:30 p.m.