Triple
T32127881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fanny |
E820551
|
entity |
| Predicate | theatricalPremierePlace |
P112744
|
FINISHED |
| Object | France |
—
|
NE NERFINISHED |
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: France | Statement: [Fanny, theatricalPremierePlace, France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: theatricalPremierePlace Context triple: [Fanny, theatricalPremierePlace, France]
-
A.
originalTheatreOfPremiere
Indicates the theatre where a work was first premiered or originally performed.
-
B.
worldPremierePlace
chosen
Indicates the place where something (typically a work or event) was first publicly premiered in the world.
-
C.
theatreLocatedIn
Indicates that a theatre is situated within or at a specific geographic location or administrative area.
-
D.
theatricalCompanyAtPremiere
Indicates that a particular theatrical company was responsible for staging or presenting a work at its premiere performance.
-
E.
theatricalProductionPremiereYear
Indicates the year in which a theatrical production was first premiered or publicly performed.
- 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_69f34902d42c819083a8e6bba9a8bb9a |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b96d083881909e975a040d96c764 |
completed | May 3, 2026, 2:56 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a970b0819090c6473844ffa8e3 |
completed | May 3, 2026, 2:32 a.m. |
Created at: May 1, 2026, 12:29 a.m.