Triple
T22453107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nicky Byrne |
E555041
|
entity |
| Predicate | yearsActiveFootball |
P8357
|
FINISHED |
| Object | early 1990s–late 1990s |
—
|
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: early 1990s–late 1990s | Statement: [Nicky Byrne, yearsActiveFootball, early 1990s–late 1990s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearsActiveFootball Context triple: [Nicky Byrne, yearsActiveFootball, early 1990s–late 1990s]
-
A.
activeYearsInSport
chosen
Indicates the span of years during which an entity actively participated in a particular sport.
-
B.
activeYearsInWorldCup
Indicates the span of years during which an entity actively participated in World Cup competitions.
-
C.
activeYearsInCareer
Indicates the span of time during which an entity was actively engaged in a particular career or professional field.
-
D.
activeYearsInMLS
Indicates the span of years during which an entity was actively involved in Major League Soccer (MLS).
-
E.
yearsActiveAsNFLReferee
Indicates the span of years during which an individual served as an NFL referee.
- 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_69e11e5113208190ab58c6b595f9d1d0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b4d6368819082cafbbd83339fbf |
completed | April 29, 2026, 1:13 a.m. |
| PD | Predicate disambiguation | batch_69e898ad961c819098fd1e46129bddcc |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:48 p.m.