Triple
T32060798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Fireplace |
E818740
|
entity |
| Predicate | hasThemeInContext |
P169663
|
FINISHED |
| Object | immigrant family business |
—
|
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: immigrant family business | Statement: [The Fireplace, hasThemeInContext, immigrant family business]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasThemeInContext Context triple: [The Fireplace, hasThemeInContext, immigrant family business]
-
A.
hasThemeType
Indicates that something is associated with or characterized by a particular thematic category or type.
-
B.
hasThemeRelationship
chosen
Indicates a relationship where one entity is thematically related to, or centered around, another entity as its main subject or topic.
-
C.
hasThemeConnection
Indicates a relationship where one entity is linked to another through a shared or related theme, topic, or conceptual focus.
-
D.
hasThemeEvent
Indicates that an event centers around, features, or is organized according to a particular theme.
-
E.
containsThemeArea
Indicates that one entity includes or encompasses a specific thematic area as part of its scope or content.
- 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_69f348fdacec8190b9f74375ca3b2094 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f70e8755a48190931eaa77946f9460 |
completed | May 3, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69f70abc00848190a1c3f495ef6c8dc6 |
completed | May 3, 2026, 8:43 a.m. |
Created at: May 1, 2026, 12:21 a.m.