Triple
T3477154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SaveMoney |
E73400
|
entity |
| Predicate | sceneRole |
P31161
|
FINISHED |
| Object | incubator for emerging Chicago artists |
—
|
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: incubator for emerging Chicago artists | Statement: [SaveMoney, sceneRole, incubator for emerging Chicago artists]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sceneRole Context triple: [SaveMoney, sceneRole, incubator for emerging Chicago artists]
-
A.
navigationRole
Indicates that one entity serves as a navigational aid, control, or function that helps users move through or orient themselves within another entity (such as an interface, document, or environment).
-
B.
roleInScene
chosen
Indicates that an entity participates in a particular scene with a specific role or function within that scene.
-
C.
theaterRole
Indicates that an entity holds or performs a specific role or character in a theatrical production in relation to another entity (such as a play or performance).
-
D.
roleInText
Indicates that an entity participates in a text with a specific function or capacity (e.g., author, editor, character).
-
E.
displayRole
Indicates the role or position an entity holds in the context of how it is presented or shown in a display.
- 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_69ad85b3c9b08190857cae74c7f36da9 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbb5a5cb88190be5624ae224e4c91 |
completed | March 8, 2026, 6:09 p.m. |
| PD | Predicate disambiguation | batch_69adae07802c8190919c49b0e65b2797 |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:17 p.m.