Triple
T36669450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Herrington High School |
E905369
|
entity |
| Predicate | teachersAreTakenOverBy |
P186529
|
FINISHED |
| Object | alien parasites |
—
|
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: alien parasites | Statement: [Herrington High School, teachersAreTakenOverBy, alien parasites]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teachersAreTakenOverBy Context triple: [Herrington High School, teachersAreTakenOverBy, alien parasites]
-
A.
hasTeacher
Indicates that one entity serves as an instructor or educator for another entity.
-
B.
teacherInText
Indicates that an entity functions as a teacher within the context or narrative of a given text.
-
C.
teacherInScene
Indicates that an entity is acting in the role of a teacher within a particular scene or context.
-
D.
teacherOrInfluence
Indicates that one entity serves as a teacher to, or has a significant influence on the development, behavior, or thinking of, another entity.
-
E.
studentOrTeacherOf
Indicates that one entity is either a student of, or a teacher of, another entity within some educational or instructional context.
- 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_69f76e6f10008190aea41746aa1b186e |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f9fe1a1ca4819084c196f0041f0be2 |
completed | May 5, 2026, 2:26 p.m. |
| PD | Predicate disambiguation | batch_69f7cf7890008190a8bc355ff2d61c86 |
completed | May 3, 2026, 10:43 p.m. |
| PDg | Predicate description generation | batch_69f9fd66eed48190bdc26a8def328c2d |
completed | May 5, 2026, 2:23 p.m. |
Created at: May 3, 2026, 4:12 p.m.