Triple
T31231424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank Tagliano |
E796292
|
entity |
| Predicate | primaryBusinessInNorway |
P70059
|
FINISHED |
| Object | nightclub management |
—
|
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: nightclub management | Statement: [Frank Tagliano, primaryBusinessInNorway, nightclub management]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryBusinessInNorway Context triple: [Frank Tagliano, primaryBusinessInNorway, nightclub management]
-
A.
primaryBusinessArea
chosen
Indicates the main field, sector, or domain in which an entity primarily conducts its business activities.
-
B.
primaryTrade
Indicates that the referenced activity or exchange is the main or most significant trade relationship associated with the entities involved.
-
C.
centralBusiness
Indicates that an entity functions as the primary commercial or economic hub (central business area or role) in relation to another entity.
-
D.
businessBase
Indicates that one entity serves as the primary business foundation, core location, or main operational base for another entity.
-
E.
notableRegionOfBusiness
Indicates that a specified geographic region is a significant or primary area in which an entity conducts its business activities.
- 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_69f224da98f88190ab32f690cce5d303 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a037c876524819098545e6037d3107d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379e5174c8190a0bdde7e381b7624 |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 29, 2026, 9:10 p.m.