Triple
T37607041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Summer Hathaway |
E935680
|
entity |
| Predicate | originalTeacher |
P138205
|
FINISHED |
| Object | Ned Schneebly (impersonated by Dewey Finn) |
E322240
|
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: Ned Schneebly (impersonated by Dewey Finn) | Statement: [Summer Hathaway, originalTeacher, Ned Schneebly (impersonated by Dewey Finn)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalTeacher Context triple: [Summer Hathaway, originalTeacher, Ned Schneebly (impersonated by Dewey Finn)]
-
A.
previousTeacher
chosen
Indicates that one entity formerly served as a teacher or instructor of the other entity in the past.
-
B.
FirstTeacherRefersTo
Indicates that the first teacher mentions, points to, or otherwise linguistically refers to the specified entity.
-
C.
traditionallyTaughtBy
Indicates that something is customarily or historically instructed or passed down by a particular person, group, or institution.
-
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.
hasTeacher
Indicates that one entity serves as an instructor or educator for another entity.
- F. None of above.
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_69f76ed0a85481909254a8a89090c826 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a40a80a30408190ad19af26da098842 |
completed | June 28, 2026, 4:50 a.m. |
| PD | Predicate disambiguation | batch_6a037a1553e08190bb7424c448cb1f33 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:18 p.m.