Triple
T32132459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jefferson Pierce |
E820686
|
entity |
| Predicate | roleAtGarfieldHighSchool |
P121011
|
FINISHED |
| Object | principal |
—
|
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: principal | Statement: [Jefferson Pierce, roleAtGarfieldHighSchool, principal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleAtGarfieldHighSchool Context triple: [Jefferson Pierce, roleAtGarfieldHighSchool, principal]
-
A.
studentCharacter
Indicates that one entity has the role or qualities of a student in relation to another entity, typically within an educational or learning context.
-
B.
roleInMonstersUniversity
Indicates the specific role or capacity an entity has within the context of the film "Monsters University" (e.g., character, crew position, or other involvement).
-
C.
schoolRole
chosen
Indicates the specific function, position, or capacity an entity holds within a school context (e.g., student, teacher, administrator).
-
D.
roleInTheAddamsFamily2019
Indicates that an entity portrays a specific character role in the 2019 production of "The Addams Family."
-
E.
roleInScoobyDoo
Indicates the specific function or character part an entity plays within the Scooby-Doo franchise or storyline.
- 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_69f349039e0c819091c7a7d322e3f46d |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6ffbad8848190867c2988c0ceb84f |
completed | May 3, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69f6fc53f4f881908dcc698687bbb64d |
completed | May 3, 2026, 7:42 a.m. |
Created at: May 1, 2026, 12:29 a.m.