Triple
T610423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe Mazzulla |
E12084
|
entity |
| Predicate | collegePlayingYears |
P8357
|
FINISHED |
| Object | 2006–2011 |
—
|
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: 2006–2011 | Statement: [Joe Mazzulla, collegePlayingYears, 2006–2011]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: collegePlayingYears Context triple: [Joe Mazzulla, collegePlayingYears, 2006–2011]
-
A.
activeYearsInSport
chosen
Indicates the span of years during which an entity actively participated in a particular sport.
-
B.
positionPlayedInCollege
Indicates the specific playing position an individual held on a sports team during their college career.
-
C.
qualificationEndYear
Indicates the calendar year in which a qualification, certification, or course of study was completed or ended.
-
D.
playedCollegeBasketballFor
Indicates that a person was a member of and competed for a specific college or university’s basketball team.
-
E.
playedCollegeTeam
Indicates that an athlete was a member of and competed for a particular college sports team.
- 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_69a493309df48190a327f748e88049a6 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49df7c088819082eb70de4f0f4fbf |
completed | March 1, 2026, 8:13 p.m. |
| PD | Predicate disambiguation | batch_69a49cfa7b4481909bec7a5fd3e98c65 |
completed | March 1, 2026, 8:09 p.m. |
Created at: March 1, 2026, 7:35 p.m.