Triple
T31228483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kevin Joseph Aloysius Connors |
E796208
|
entity |
| Predicate | yearsActiveInSports |
P8357
|
FINISHED |
| Object | 1940–1952 |
—
|
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: 1940–1952 | Statement: [Kevin Joseph Aloysius Connors, yearsActiveInSports, 1940–1952]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearsActiveInSports Context triple: [Kevin Joseph Aloysius Connors, yearsActiveInSports, 1940–1952]
-
A.
activeYearsInSport
chosen
Indicates the span of years during which an entity actively participated in a particular sport.
-
B.
activeYearsInCareer
Indicates the span of time during which an entity was actively engaged in a particular career or professional field.
-
C.
hasPlayedProfessionalSports
Indicates that an entity has participated as an athlete in an officially recognized professional-level sports competition or league.
-
D.
activeYearsPeak
Indicates the span of years during which an entity was at the height of its activity or prominence.
-
E.
yearsActiveAsCoach
Indicates the span of time, typically in years, during which an individual has served in a coaching role.
- 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_69f224da98f88190ab32f690cce5d303 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69c532354819092d9d8247548c6a2 |
completed | May 3, 2026, 12:52 a.m. |
| PD | Predicate disambiguation | batch_69f696673214819094350e1d2648ef34 |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 29, 2026, 9:10 p.m.