Triple
T17921099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Astrid Sloan |
E448067
|
entity |
| Predicate | competesAt |
P39898
|
FINISHED |
| Object | Saint Sebastian High School student government |
—
|
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: Saint Sebastian High School student government | Statement: [Astrid Sloan, competesAt, Saint Sebastian High School student government]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: competesAt Context triple: [Astrid Sloan, competesAt, Saint Sebastian High School student government]
-
A.
competitionDepicted
Indicates that a competitive event or rivalry between entities is shown or represented in some medium or context.
-
B.
qualifyingCompetitionFor
Indicates that one competition serves as a qualifying event for participation in another competition.
-
C.
competitionOf
Indicates a relationship where one entity is the competitive event, contest, or rivalry involving another entity.
-
D.
competeIn
chosen
Indicates that an entity takes part as a contender in a particular event, activity, or domain where performance is compared against others.
-
E.
tieneCompetenciaEn
Indicates that an entity possesses skill, expertise, or competence in a specific area, field, or activity.
- 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4a30a11748190be41361d108aee58 |
completed | April 19, 2026, 9:40 a.m. |
| PD | Predicate disambiguation | batch_69e3d8ec2f6881909d7f54b878cbed37 |
completed | April 18, 2026, 7:18 p.m. |
Created at: April 10, 2026, 10:20 a.m.