Triple
T34448093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St Teresa's Hall |
E884283
|
entity |
| Predicate | hasWorkPremiered |
P61113
|
FINISHED |
| Object | "Cathleen ni Houlihan" |
—
|
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: "Cathleen ni Houlihan" | Statement: [St Teresa's Hall, hasWorkPremiered, "Cathleen ni Houlihan"]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWorkPremiered Context triple: [St Teresa's Hall, hasWorkPremiered, "Cathleen ni Houlihan"]
-
A.
premieredWith
Indicates that one entity made its first public debut or initial showing together with another entity, at the same time or in the same event.
-
B.
sectionPremieredIn
Indicates that a specific section or part of a work first premiered or was initially presented in a particular event, venue, or context.
-
C.
premieredOn
Indicates that an event, work, or production had its first public showing or debut on a specified date or at a specified time.
-
D.
hasAired
Indicates that an episode, show, or broadcast has already been transmitted or made available to the public at least once.
-
E.
premieredIn
chosen
Indicates that a creative work first publicly debuted or was initially presented in a particular place, event, or context.
- 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_69f349c607688190b553539d14901a35 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fe30bc64308190b603ff1b30c2aeee |
completed | May 8, 2026, 6:51 p.m. |
| PD | Predicate disambiguation | batch_69fe2f7175b081908dd61e1513620bbe |
completed | May 8, 2026, 6:46 p.m. |
Created at: May 1, 2026, 2 a.m.