Triple
T16991459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christy Ring |
E412202
|
entity |
| Predicate | interCountyDebut |
P126072
|
FINISHED |
| Object | 1939 |
—
|
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: 1939 | Statement: [Christy Ring, interCountyDebut, 1939]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: interCountyDebut Context triple: [Christy Ring, interCountyDebut, 1939]
-
A.
internationalDebutFor
Indicates that an entity made its first official appearance or performance at the international level representing a particular country, team, or organization.
-
B.
internationalDebutOpponentTest
Indicates the opponent team against which an entity made its international Test debut.
-
C.
debutInLeague
Indicates the league in which an entity (typically a player or team) made its first official appearance.
-
D.
professionalDebutCountry
Indicates the country in which an individual made their professional debut.
-
E.
worldChampionshipDebut
Indicates the event or occasion on which an entity first appeared or participated in a world championship.
- 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_69d886cb581c8190ab05f4b429c9cd85 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d280e3348190a27bd5dc7cf87c0e |
completed | April 18, 2026, 6:50 p.m. |
| PD | Predicate disambiguation | batch_69e35d552bc08190af17ef7659e094ef |
completed | April 18, 2026, 10:30 a.m. |
| PDg | Predicate description generation | batch_69e378e037c88190935d732e0f10d5d7 |
completed | April 18, 2026, 12:28 p.m. |
Created at: April 10, 2026, 5:32 a.m.