Triple
T26353846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leta Lestrange |
E662974
|
entity |
| Predicate | schoolRelationshipWith |
P42300
|
FINISHED |
| Object | Newt Scamander |
—
|
NE NERFINISHED |
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: Newt Scamander | Statement: [Leta Lestrange, schoolRelationshipWith, Newt Scamander]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: schoolRelationshipWith Context triple: [Leta Lestrange, schoolRelationshipWith, Newt Scamander]
-
A.
relationshipToSeniorSchool
Indicates the type of connection or affiliation an entity has with a particular senior school (such as attendance, partnership, or oversight).
-
B.
relationshipToStudents
Indicates the type or nature of connection one entity has with students, such as role, affiliation, or responsibility toward them.
-
C.
associatedWithSchool
chosen
Indicates a relationship where an entity has a connection or affiliation with a particular school, such as attendance, employment, or partnership.
-
D.
relationshipToEd
Indicates the specific type of relationship or connection that an entity has to Ed.
-
E.
schoolBelongsTo
Indicates that a particular school is owned by, affiliated with, or under the authority or jurisdiction of a specific organization, institution, or administrative entity.
- 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_69ee8130fc44819094e5ab1da201cd7b |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f650c70d7c819093d9a0f005f7c8d5 |
completed | May 2, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69f64cab1f648190a2a9460690d18a37 |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 26, 2026, 10:47 p.m.