Triple
T35891904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isobel Buchanan |
E1038104
|
entity |
| Predicate | madeOperaticDebutAt |
P183948
|
FINISHED |
| Object | Sydney Opera House |
—
|
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: Sydney Opera House | Statement: [Isobel Buchanan, madeOperaticDebutAt, Sydney Opera House]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: madeOperaticDebutAt Context triple: [Isobel Buchanan, madeOperaticDebutAt, Sydney Opera House]
-
A.
madeOperaticDebut
Indicates that an entity performed in its first-ever opera production or role.
-
B.
madeMetropolitanOperaDebut
Indicates that an individual gave their first performance at the Metropolitan Opera.
-
C.
dateOfMetOperaDebut
Indicates the specific date on which an individual or group first performed at the Metropolitan Opera.
-
D.
broadwayMusicalDebut
Indicates the event or role through which a person first appeared in a Broadway musical production.
-
E.
firstPerformanceInOpera
Indicates that an entity’s first-ever performance occurred in the context of an opera production.
- F. None of above. chosen
Provenance (4 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_69f76e2190f88190beb2eed798a4ef01 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aaabb58c8190bf81673608ecfb6e |
completed | May 3, 2026, 8:06 p.m. |
| PD | Predicate disambiguation | batch_69f7a8d435288190b30b1991fb003121 |
completed | May 3, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69f7aa33e0488190a135166bb67e1118 |
completed | May 3, 2026, 8:04 p.m. |
Created at: May 3, 2026, 4:06 p.m.