Triple
T27150000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tito |
E682359
|
entity |
| Predicate | retirementAsProfessional |
P39575
|
FINISHED |
| Object | 2008 |
—
|
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: 2008 | Statement: [Tito, retirementAsProfessional, 2008]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: retirementAsProfessional Context triple: [Tito, retirementAsProfessional, 2008]
-
A.
roleAfterRetirement
Indicates the position, function, or status an entity assumes after it has retired from its previous role or activity.
-
B.
seniorCareerEnd
chosen
Indicates the point in time or event at which an entity’s senior-level career or professional activity comes to an end.
-
C.
retiredToPursue
Indicates that an entity voluntarily left a position, role, or career in order to actively follow or focus on another specific activity, goal, or interest.
-
D.
collegeCareerEnd
Indicates the point or event at which an individual's college-level athletic or academic career concludes.
-
E.
retiredFrom
Indicates that an entity has permanently stopped working for or being active in a specified organization, role, or activity.
- 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_69eefaceb2a08190b9659b7f730629f5 |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f624c8b4148190990ea6bd13e9e271 |
completed | May 2, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69f61b40f02081909bd9c3ea73249163 |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 27, 2026, 9:13 a.m.