Triple
T35192658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bronson Alcott High School |
E1016161
|
entity |
| Predicate | notableFictionalStudent |
P119459
|
FINISHED |
| Object | Cher Horowitz |
E322252
|
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: Cher Horowitz | Statement: [Bronson Alcott High School, notableFictionalStudent, Cher Horowitz]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableFictionalStudent Context triple: [Bronson Alcott High School, notableFictionalStudent, Cher Horowitz]
-
A.
notableStudent
Indicates that a person is a distinguished or particularly significant student of another individual or institution.
-
B.
notableCharacterName
Indicates that the subject has a notable or significant character whose name is given by the object.
-
C.
notableEmployeeInFiction
Indicates that a person is a particularly prominent or significant employee within a fictional work or universe.
-
D.
studentCharacter
chosen
Indicates that one entity has the role or qualities of a student in relation to another entity, typically within an educational or learning context.
-
E.
notableStudentBodyAssociatedWith
Indicates that there is a significant or noteworthy group of students associated with a particular entity, such as an institution, organization, or program.
- 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_69f76ddd815c8190b822eea06630f9fb |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a37fb23ae3c819082415d3f12a987ec |
completed | June 21, 2026, 2:54 p.m. |
| PD | Predicate disambiguation | batch_6a037a016960819093ed4990fb4d9d36 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:02 p.m.