Triple
T15578671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garrett Hedlund |
E374435
|
entity |
| Predicate | educatedAt |
P5
|
FINISHED |
| Object | Horizon High School |
E374435
|
NE 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: Horizon High School | Statement: [Garrett Hedlund, educatedAt, Horizon High School]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Horizon High School Context triple: [Garrett Hedlund, educatedAt, Horizon High School]
-
A.
Horizon High School
chosen
Horizon High School is an American secondary school best known as the alma mater of actor Garrett Hedlund.
-
B.
Forest High School
Forest High School is a secondary school located in Cinderford, Gloucestershire, England.
-
C.
Hillcrest High School
Hillcrest High School is a public secondary school in Illinois that serves students in the Bremen High School District 228.
-
D.
Hillcrest High School
Hillcrest High School is a New York City public high school best known as the alma mater of comedian and actor Ray Romano.
-
E.
Hall High School
Hall High School is a public secondary school serving students in the West Hartford, Connecticut area.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e24064c8190b132c3092877fbfa |
completed | April 16, 2026, 2:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff82e56ffc81909e3228a660df4e09 |
completed | May 9, 2026, 6:54 p.m. |
Created at: April 10, 2026, 4:11 a.m.