Triple
T138261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coit Tower |
E2794
|
entity |
| Predicate | muralsTheme |
P261
|
FINISHED |
| Object | life in California during the Great Depression |
—
|
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: life in California during the Great Depression | Statement: [Coit Tower, muralsTheme, life in California during the Great Depression]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: muralsTheme Context triple: [Coit Tower, muralsTheme, life in California during the Great Depression]
-
A.
paintedEvery
Indicates that an entity applied paint to each and every relevant item in a specified set or domain.
-
B.
artMovement
Indicates the artistic movement or style with which an artwork, artist, or cultural work is associated.
-
C.
theme
chosen
Indicates the entity that is the primary participant or content affected or characterized by an action, event, or state.
-
D.
museumCity
Indicates the city in which a given museum is located.
-
E.
artworkType
Indicates the specific category or kind of artwork that characterizes the relationship between the subject and the artwork.
- 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_69a2521e35c08190b28e5c9f1e3c9b59 |
completed | Feb. 28, 2026, 2:25 a.m. |
| NER | Named-entity recognition | batch_69a257a800148190be119d1d075869b8 |
completed | Feb. 28, 2026, 2:49 a.m. |
| PD | Predicate disambiguation | batch_69a25652efdc8190b85b33735a9e6370 |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.