Triple
T10978101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Darren Fletcher |
E259424
|
entity |
| Predicate | tookBreakFromFootball |
P96419
|
FINISHED |
| Object | 2011 |
—
|
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: 2011 | Statement: [Darren Fletcher, tookBreakFromFootball, 2011]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tookBreakFromFootball Context triple: [Darren Fletcher, tookBreakFromFootball, 2011]
-
A.
wasSidelinedBy
Indicates that one entity was removed from an active or central role by another entity, typically in favor of others or to reduce its influence or participation.
-
B.
choseNotToPlayInNFL
Indicates that an individual had the opportunity or option to play in the NFL but decided against doing so.
-
C.
hasProfessionOutsideFootball
Indicates that a person involved in football also holds a separate professional occupation outside of football.
-
D.
formerSport
Indicates that an entity previously played or participated in a particular sport but no longer does so.
-
E.
endOfInternationalCareer
Indicates that an entity’s participation or involvement in international-level activities or competitions has concluded.
- 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_69d6aa895f4c8190887a15460ef622f4 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d771f6a9448190b3932ee801ae0da9 |
completed | April 9, 2026, 9:31 a.m. |
| PD | Predicate disambiguation | batch_69d72e9055908190b438f039574aaaaf |
completed | April 9, 2026, 4:44 a.m. |
| PDg | Predicate description generation | batch_69d732242fdc8190be77d1f730a42935 |
completed | April 9, 2026, 4:59 a.m. |
Created at: April 8, 2026, 9:24 p.m.