Triple
T19697613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. Cecilia High School |
E473001
|
entity |
| Predicate | VinceLombardiPosition |
P136968
|
FINISHED |
| Object | teacher |
—
|
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: teacher | Statement: [St. Cecilia High School, VinceLombardiPosition, teacher]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: VinceLombardiPosition Context triple: [St. Cecilia High School, VinceLombardiPosition, teacher]
-
A.
roleAtTampaBayBuccaneers
Indicates that an entity holds or held a specific role or position within the Tampa Bay Buccaneers organization.
-
B.
roleAtSanFrancisco49ers
Indicates that an entity holds or has held a specific role or position with the San Francisco 49ers organization.
-
C.
defensiveCoordinatorFor
Indicates that one entity serves as the defensive coordinator (leader of the defensive unit) for another entity, typically a sports team.
-
D.
wonSuperBowlAsHeadCoachWith
Indicates that one entity served as the head coach of a team that won the Super Bowl with the other entity (the team) during that championship season.
-
E.
HeismanTrophyPosition
Indicates the playing position associated with a recipient of the Heisman Trophy.
- 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_69d8e515bef88190bc30781aea50537a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e642b2baec81909ee2cd6ead632836 |
completed | April 20, 2026, 3:13 p.m. |
| PD | Predicate disambiguation | batch_69e53039ea808190a9106a53f564ab92 |
completed | April 19, 2026, 7:42 p.m. |
| PDg | Predicate description generation | batch_69e532bbedf081908d801600e2af94a7 |
completed | April 19, 2026, 7:53 p.m. |
Created at: April 10, 2026, 1:46 p.m.