Triple
T12330307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe Perry (snooker player) |
E293940
|
entity |
| Predicate | nonRankingTitles |
P104528
|
FINISHED |
| Object | multiple pro-am and minor-ranking titles |
—
|
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: multiple pro-am and minor-ranking titles | Statement: [Joe Perry (snooker player), nonRankingTitles, multiple pro-am and minor-ranking titles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nonRankingTitles Context triple: [Joe Perry (snooker player), nonRankingTitles, multiple pro-am and minor-ranking titles]
-
A.
notableTitleOnTheLine
Indicates that a significant or prestigious title is at stake or being contested in the associated event or context.
-
B.
titles
Indicates that one entity holds a formal title, designation, or name associated with another entity.
-
C.
usOpenTitles
Indicates the number of US Open championship titles an entity has won.
-
D.
titleInEmpire
Indicates that an entity holds or is associated with a specific official title within an empire.
-
E.
notLegalTitle
Indicates that the referenced title or ownership claim is not legally valid or officially recognized.
- 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f634ee08190b4f533505d402219 |
completed | April 10, 2026, 6:20 p.m. |
| PD | Predicate disambiguation | batch_69d93ec5be788190b82d2edc6a0f1095 |
completed | April 10, 2026, 6:17 p.m. |
| PDg | Predicate description generation | batch_69d93f607a88819089e89fd263ae9937 |
completed | April 10, 2026, 6:20 p.m. |
Created at: April 8, 2026, 9:53 p.m.