Triple
T26700715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eddie "Scrap-Iron" Dupris |
E673146
|
entity |
| Predicate | mentorRole |
P106997
|
FINISHED |
| Object | guides Maggie Fitzgerald's boxing career |
—
|
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: guides Maggie Fitzgerald's boxing career | Statement: [Eddie "Scrap-Iron" Dupris, mentorRole, guides Maggie Fitzgerald's boxing career]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mentorRole Context triple: [Eddie "Scrap-Iron" Dupris, mentorRole, guides Maggie Fitzgerald's boxing career]
-
A.
mentorCharacter
chosen
Indicates that one character serves as a mentor, providing guidance, teaching, or support to another character.
-
B.
mentorOrPartner
Indicates a relationship in which one entity either provides guidance and support to another as a mentor or collaborates with them on relatively equal footing as a partner.
-
C.
coachedRole
Indicates that one entity served as a coach for another entity in a specific role or position.
-
D.
gradingRole
Indicates that an entity has the role or responsibility of evaluating, scoring, or grading another entity’s work, performance, or output.
-
E.
moderator
Indicates that one entity serves as a moderator for another entity, overseeing, managing, or facilitating its activities, interactions, or content.
- 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_69eecda2b49c8190a6c481cfc4c07954 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f6177ef08481908130a8cc2ec33fb2 |
completed | May 2, 2026, 3:25 p.m. |
| PD | Predicate disambiguation | batch_69f60b8bb0d08190ab5a9a2a8847c6f4 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 27, 2026, 3:31 a.m.